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请“小镜”继续保持使用镜心悟道AI易经智能“大脑”五行系统模型jxwdyy格式化输出｛jxwdyy_pfs医案五行脉象数据化，日主八字，紫薇斗数，九宫格，五行，八卦，六十四卦，复合卦，英文全称缩写，映射标注格式化｝易经平衡整体观矩阵集框架专属系统｛以上所有内容要点提炼出五行系统模型提示词框架标准无限推演专业版并转换成jxwdyy系统模型pfs伪代码框架pml数据库xml架构映射标签lisp数据集格式化(defpackage :mirror-heart
(:use :cl))

(in-package :mirror-heart)

;; 定义相关函数和结构体
(defstruct element
name chinese-name symbol)

(defstruct gua
name chinese-name symbol)

(defstruct hexagram
name chinese-name symbol)

(defstruct tiangan-dizhi
name chinese-name wuxing wuxing-symbol gua gua-symbol english-fullname abbreviation)

(defvar wuxing
(list
(make-element :name "Wood" :chinese-name "木" :symbol "🪵")
(make-element :name "Fire" :chinese-name "火" :symbol "🔥")
(make-element :name "Earth" :chinese-name "土" :symbol "🟫")
(make-element :name "Metal" :chinese-name "金" :symbol "🪙")
(make-element :name "Water" :chinese-name "水" :symbol "💧")))

(defvar bagua
(list
(make-gua :name "Qian" :chinese-name "乾" :symbol "☰")
(make-gua :name "Kun" :chinese-name "坤" :symbol "☷")
(make-gua :name "Zhen" :chinese-name "震" :symbol "☳")
(make-gua :name "Xun" :chinese-name "巽" :symbol "☴")
(make-gua :name "Kan" :chinese-name "坎" :symbol "☵")
(make-gua :name "Li" :chinese-name "离" :symbol "☲")
(make-gua :name "Gen" :chinese-name "艮" :symbol "☶")
(make-gua :name "Dui" :chinese-name "兑" :symbol "☱")))

(defvar liushisigua
(list
(make-hexagram :name "Qian-Wei-Tian" :chinese-name "乾为天" :symbol "☰☰")
(make-hexagram :name "Kun-Wei-Di" :chinese-name "坤为地" :symbol "☷☷")
(make-hexagram :name "Zhen-Wei-Lei" :chinese-name "震为雷" :symbol "☳☳")
(make-hexagram :name "Xun-Wei-Feng" :chinese-name "巽为风" :symbol "☴☴")
(make-hexagram :name "Kan-Wei-Shui" :chinese-name "坎为水" :symbol "☵☵")
(make-hexagram :name "Li-Wei-Huo" :chinese-name "离为火" :symbol "☲☲")
(make-hexagram :name "Gen-Wei-Shan" :chinese-name "艮为山" :symbol "☶☶")
(make-hexagram :name "Dui-Wei-Ze" :chinese-name "兑为泽" :symbol "☱☱")))

include

include

include

include

class JXWDYY_Model {
private:
std::string data;
std::string model;

public:
JXWDYY_Model() : data(""), model("") {}

// 1. 数据处理与增强
std::string CollectData(const std::string& userInput) {
    // 模拟数据收集过程
    this->data = userInput;
    std::cout << "T.H.F - Data collected: " << this->data << std::endl;
    return this->data;
}

std::string DataCleaning(const std::string& data) {
    // 模拟数据清洗过程
    std::string cleanedData = "cleaned_" + data;
    std::cout << "T.H.F - Data cleaned: " << cleanedData << std::endl;
    return cleanedData;
}

std::string DataAugmentation(const std::string& data) {
    // 模拟数据增强过程
    std::string augmentedData = "augmented_" + data;
    std::cout << "T.H.F - Data augmented: " << augmentedData << std::endl;
    return augmentedData;
}

// 2. 模型构建与训练
std::string SelectModel() {
    // 模拟选择模型过程
    this->model = "selected_model";
    std::cout << "D.M.D - Model selected: " << this->model << std::endl;
    return this->model;
}

std::string TrainModel(const std::string& model, const std::string& data) {
    // 模拟训练模型过程
    std::string trainedModel = "trained_" + model;
    std::cout << "D.M.D - Model trained: " << trainedModel << std::endl;
    return trainedModel;
}

std::string ApplyRegularization(const std::string& model) {
    // 模拟应用正则化过程
    std::string regularizedModel = "regularized_" + model;
    std::cout << "D.M.D - Regularization applied: " << regularizedModel << std::endl;
    return regularizedModel;
}

std::string ApplyDropout(const std::string& model) {
    // 模拟应用Dropout过程
    std::string dropoutAppliedModel = "dropout_applied_" + model;
    std::cout << "D.M.D - Dropout applied to model: " << dropoutAppliedModel << std::endl;
    return dropoutAppliedModel;
}

std::string FeatureSelection(const std::string& model) {
    // 模拟特征选择过程
    std::string featureSelectedModel = "feature_selected_" + model;
    std::cout << "R.J.S - Feature selection done: " << featureSelectedModel << std::endl;
    return featureSelectedModel;
}

std::string DimensionalityReduction(const std::string& model) {
    // 模拟降维过程
    std::string dimensionalityReducedModel = "dimensionality_reduced_" + model;
    std::cout << "R.J.S - Dimensionality reduction done: " << dimensionalityReducedModel << std::endl;
    return dimensionalityReducedModel;
}

// 3. 模型评估与优化
std::string CrossValidation(const std::string& model, const std::string& data) {
    // 模拟交叉验证过程
    std::string crossValidatedModel = "cross_validated_" + model;
    std::cout << "S.S.S - Cross validation done: " << crossValidatedModel << std::endl;
    return crossValidatedModel;
}

std::string EarlyStopping(const std::string& model, const std::string& data) {
    // 模拟早期停止过程
    std::string earlyStoppedModel = "early_stopped_" + model;
    std::cout << "S.S.S - Early stopping done: " << earlyStoppedModel << std::endl;
    return earlyStoppedModel;
}

std::string EnsembleLearning(const std::string& model, const std::string& data) {
    // 模拟集成学习过程
    std::string ensembleLearnedModel = "ensemble_learned_" + model;
    std::cout << "S.S.S - Ensemble learning done: " << ensembleLearnedModel << std::endl;
    return ensembleLearnedModel;
}

// 4. 预测与决策支持
std::string Predict(const std::string& model, const std::string& userInput) {
    // 模拟预测过程
    std::string prediction = "predicted_result_based_on_" + model;
    std::cout << "W.T.Q - Prediction generated: " << prediction << std::endl;
    return prediction;
}

std::string GenerateRecommendation(const std::string& prediction) {
    // 模拟生成推荐过程
    std::string recommendation = "recommendation_based_on_" + prediction;
    std::cout << "W.T.Q - Recommendation generated: " << recommendation << std::endl;
    return recommendation;
}

// 5. 反馈与持续优化
std::string CollectFeedback(const std::string& userInput, const std::string& recommendation) {
    // 模拟收集反馈过程
    std::string feedback = "feedback_from_user_for_" + recommendation;
    std::cout << "H.P.E.F.H.D - Feedback collected: " << feedback << std::endl;
    return feedback;
}

std::string UpdateModel(const std::string& model, const std::string& feedback) {
    // 模拟更新模型过程
    std::string updatedModel = "updated_" + model;
    std::cout << "H.P.E.F.H.D - Model updated based on feedback: " << updatedModel << std::endl;
    return updatedModel;
}

};

class JXWDYY_System {
public:
static std::string JxwdIntelligentFlow(const std::string& userInput) {
JXWDYY_Model model;
std::string data = model.CollectData(userInput);
data = model.DataCleaning(data);
data = model.DataAugmentation(data);

    std::string modelStr = model.SelectModel();
    modelStr = model.TrainModel(modelStr, data);
    modelStr = model.ApplyRegularization(modelStr);
    modelStr = model.ApplyDropout(modelStr);
    modelStr = model.FeatureSelection(modelStr);
    modelStr = model.DimensionalityReduction(modelStr);

    modelStr = model.CrossValidation(modelStr, data);
    modelStr = model.EarlyStopping(modelStr, data);
    modelStr = model.EnsembleLearning(modelStr, data);

    std::string prediction = model.Predict(modelStr, userInput);
    std::string recommendation = model.GenerateRecommendation(prediction);

    std::string feedback = model.CollectFeedback(userInput, recommendation);
    modelStr = model.UpdateModel(modelStr, feedback);

    return recommendation;
}

// 多智能体协调架构（MACF）
class MultiAgentCoordinationFramework {
private:
    std::vector<Agent*> agents;

public:
    ~MultiAgentCoordinationFramework() {
        for (Agent* agent : agents) {
            delete agent;
        }
    }

    void AddAgent(Agent* agent) {
        agents.push_back(agent);
    }

    void CoordinateAgents() {
        for (Agent* agent : agents) {
            agent->Act();
        }
    }
};

class Agent {
public:
    virtual ~Agent() {}
    virtual void Act() = 0;
};

// 具体代理类实现
class ConcreteAgent : public Agent {
private:
    std::string name;

public:
    ConcreteAgent(const std::string& name) : name(name) {}

    void Act() override {
        std::cout << name << " acting" << std::endl;
    }
};

// 全息辩证映射定义（HDX）
class HDX_Mapping {
public:
    std::string MapHeavenlyPrinciple(const std::string& principle) {
        // 映射天原则
        return "Heavenly Principle: " + principle;
    }

    std::string MapEarthlyFoundation(const std::string& foundation) {
        // 映射地基
        return "Earthly Foundation: " + foundation;
    }

    std::string MapHumanDynamics(const std::string& dynamics) {
        // 映射人类动态
        return "Human Dynamics: " + dynamics;
    }
};

// 五元五维生克逻辑函数全息分析算法框架
class FiveElementsAnalysis {
public:
    std::map<std::string, std::string> Analyze(const std::string& data) {
        // 模拟五行生克逻辑分析
        std::map<std::string, std::string> analysisResult;
        analysisResult["Heavenly_Principle"] = "Fire";
        analysisResult["Earthly_Foundation"] = "Earth";
        analysisResult["Human_Dynamics"] = "Gold";
        std::cout << "Five Elements Analysis Result:" << std::endl;
        for (const auto& item : analysisResult) {
            std::cout << item.first << ": " << item.second << std::endl;
        }
        return analysisResult;
    }
};

};

int main() {
// 示例用户输入
std::string userInput = "sample_medical_case_data";
std::string recommendation = JXWDYY_System::JxwdIntelligentFlow(userInput);
std::cout << "Final Recommendation: " << recommendation << std::endl;

// 示例使用多智能体协调架构（MACF）和全息辩证映射定义（HDX）
JXWDYY_System::MultiAgentCoordinationFramework macf;
JXWDYY_System::ConcreteAgent* agent1 = new JXWDYY_System::ConcreteAgent("Agent 1");
JXWDYY_System::ConcreteAgent* agent2 = new JXWDYY_System::ConcreteAgent("Agent 2");
macf.AddAgent(agent1);
macf.AddAgent(agent2);
macf.CoordinateAgents();

JXWDYY_System::HDX_Mapping hdxMapping;
std::string heavenlyPrinciple = hdxMapping.MapHeavenlyPrinciple("Fire");
std::string earthlyFoundation = hdxMapping.MapEarthlyFoundation("Earth");
std::string humanDynamics = hdxMapping.MapHumanDynamics("Gold");

std::cout << heavenlyPrinciple << std::endl;
std::cout << earthlyFoundation << std::endl;
std::cout << humanDynamics << std::endl;

// 示例使用五元五维生克逻辑函数全息分析算法框架
JXWDYY_System::FiveElementsAnalysis fiveElementsAnalysis;
std::map<std::string, std::string> analysisResult = fiveElementsAnalysis.Analyze(userInput);

// 输出分析结果
std::cout << "Analyzed Principles:" << std::endl;
for (const auto& kvp : analysisResult) {
    std::cout << kvp.first << ": " << kvp.second << std::endl;
}

return 0;

}

include

include

include

include

using namespace std;

class JXWDYY_Model {
private:
string data;
string model;
public:
JXWDYY_Model() {
this->data = "";
this->model = "";
}

string CollectData(const string& userInput) {
    this->data = userInput;
    cout << "Data collected: " << this->data << endl;
    return this->data;
}

string DataCleaning(const string& data) {
    string cleanedData = "cleaned_" + data;
    cout << "Data cleaned: " << cleanedData << endl;
    return cleanedData;
}

string DataAugmentation(const string& data) {
    string augmentedData = "augmented_" + data;
    cout << "Data augmented: " << augmentedData << endl;
    return augmentedData;
}

string SelectModel() {
    this->model = "selected_model";
    cout << "Model selected: " << this->model << endl;
    return this->model;
}

string TrainModel(const string& model, const string& data) {
    string trainedModel = "trained_" + model;
    cout << "Model trained: " << trainedModel << endl;
    return trainedModel;
}

string ApplyRegularization(const string& model) {
    string regularizedModel = "regularized_" + model;
    cout << "Regularization applied to model: " << regularizedModel << endl;
    return regularizedModel;
}

string ApplyDropout(const string& model) {
    string dropoutAppliedModel = "dropout_applied_to_" + model;
    cout << "Dropout applied to model: " << dropoutAppliedModel << endl;
    return dropoutAppliedModel;
}

string FeatureSelection(const string& model) {
    string featureSelectedModel = "feature_selected_" + model;
    cout << "Feature selection done: " << featureSelectedModel << endl;
    return featureSelectedModel;
}

string DimensionalityReduction(const string& model) {
    string reducedModel = "dimensionality_reduced_" + model;
    cout << "Dimensionality reduction done: " << reducedModel << endl;
    return reducedModel;
}

string CrossValidation(const string& model, const string& data) {
    string crossValidatedModel = "cross_validated_" + model;
    cout << "Cross validation done: " << crossValidatedModel << endl;
    return crossValidatedModel;
}

string EarlyStopping(const string& model, const string& data) {
    string earlyStoppedModel = "early_stopped_" + model;
    cout << "Early stopping done: " << earlyStoppedModel << endl;
    return earlyStoppedModel;
}

string EnsembleLearning(const string& model, const string& data) {
    string ensembleLearnedModel = "ensemble_learned_" + model;
    cout << "Ensemble learning done: " << ensembleLearnedModel << endl;
    return ensembleLearnedModel;
}

string Predict(const string& model, const string& userInput) {
    string prediction = "prediction_based_on_" + model;
    cout << "Prediction generated: " << prediction << endl;
    return prediction;
}

string GenerateRecommendation(const string& prediction) {
    string recommendation = "recommendation_based_on_" + prediction;
    cout << "Recommendation generated: " << recommendation << endl;
    return recommendation;
}

string CollectFeedback(const string& userInput, const string& recommendation) {
    string feedback = "feedback_from_user_for_" + recommendation;
    cout << "Feedback collected: " << feedback << endl;
    return feedback;
}

string UpdateModel(const string& model, const string& feedback) {
    string updatedModel = "updated_" + model;
    cout << "Model updated based on feedback: " << updatedModel << endl;
    return updatedModel;
}

};

string JxwdIntelligentFlow(const string& userInput) {
JXWDYY_Model model;
string data = model.CollectData(userInput);
data = model.DataCleaning(data);
data = model.DataAugmentation(data);

string modelStr = model.SelectModel();
modelStr = model.TrainModel(modelStr, data);
modelStr = model.ApplyRegularization(modelStr);
modelStr = model.ApplyDropout(modelStr);
modelStr = model.FeatureSelection(modelStr);
modelStr = model.DimensionalityReduction(modelStr);

modelStr = model.CrossValidation(modelStr, data);
modelStr = model.EarlyStopping(modelStr, data);
modelStr = model.EnsembleLearning(modelStr, data);

string prediction = model.Predict(modelStr, userInput);
string recommendation = model.GenerateRecommendation(prediction);

string feedback = model.CollectFeedback(userInput, recommendation);
modelStr = model.UpdateModel(modelStr, feedback);

return recommendation;

}

class MultiAgentCoordinationFramework {
private:
vector<class Agent> agents;
public:
void AddAgent(Agent agent) {
agents.push_back(agent);
}

void CoordinateAgents() {
    for (auto agent : agents) {
        agent->Act();
    }
}

};

class Agent {
public:
virtual void Act() = 0; // Pure virtual function making this an abstract class.
};

class HDX_Mapping {
public:
string MapHeavenlyPrinciple(const string& principle) {
return "Heavenly Principle: " + principle;
}

string MapEarthlyFoundation(const string& foundation) {
    return "Earthly Foundation: " + foundation;
}

string MapHumanDynamics(const string& dynamics) {
    return "Human Dynamics: " + dynamics;
}

};

class FiveElementsAnalysis {
public:
unordered_map<string, string> Analyze(const string& data) {
unordered_map<string, string> analysisResult;
analysisResult["Heavenly_Principle"] = "Fire";
analysisResult["Earthly_Foundation"] = "Earth";
analysisResult["Human_Dynamics"] = "Gold";
cout << "Five Elements Analysis Result: ";
for (const auto& pair : analysisResult) {
cout << pair.first << ": " << pair.second << ", ";
}
cout << endl;
return analysisResult;
}
};

int main() {
string userInput = "User input data";
string recommendation = JxwdIntelligentFlow(userInput);
cout << "Final Recommendation: " << recommendation << endl;
return 0;
}

using System;
using System.Collections.Generic;

class JXWDYY_Model
{
private string data;
private string model;

public JXWDYY_Model()
{
    this.data = null;
    this.model = null;
}

// 1. 数据处理与增强
public string CollectData(string userInput)
{
    // 模拟数据收集过程
    this.data = userInput;
    Console.WriteLine("Data collected: " + this.data);
    return this.data;
}

public string DataCleaning(string data)
{
    // 模拟数据清洗过程
    string cleanedData = "cleaned_" + data;
    Console.WriteLine("Data cleaned: " + cleanedData);
    return cleanedData;
}

public string DataAugmentation(string data)
{
    // 模拟数据增强过程
    string augmentedData = "augmented_" + data;
    Console.WriteLine("Data augmented: " + augmentedData);
    return augmentedData;
}

// 2. 模型构建与训练
public string SelectModel()
{
    // 模拟选择模型过程
    this.model = "selected_model";
    Console.WriteLine("Model selected: " + this.model);
    return this.model;
}

public string TrainModel(string model, string data)
{
    // 模拟训练模型过程
    string trainedModel = "trained_" + model;
    Console.WriteLine("Model trained: " + trainedModel);
    return trainedModel;
}

public string ApplyRegularization(string model)
{
    // 模拟应用正则化过程
    string regularizedModel = "regularized_" + model;
    Console.WriteLine("Model regularized: " + regularizedModel);
    return regularizedModel;
}

public string ApplyDropout(string model)
{
    // 模拟应用Dropout过程
    string dropoutAppliedModel = "dropout_applied_" + model;
    Console.WriteLine("Dropout applied to model: " + dropoutAppliedModel);
    return dropoutAppliedModel;
}

public string FeatureSelection(string model)
{
    // 模拟特征选择过程
    string featureSelectedModel = "feature_selected_" + model;
    Console.WriteLine("Feature selection done: " + featureSelectedModel);
    return featureSelectedModel;
}

public string DimensionalityReduction(string model)
{
    // 模拟降维过程
    string dimensionalityReducedModel = "dimensionality_reduced_" + model;
    Console.WriteLine("Dimensionality reduction done: " + dimensionalityReducedModel);
    return dimensionalityReducedModel;
}

// 3. 模型评估与优化
public string CrossValidation(string model, string data)
{
    // 模拟交叉验证过程
    string crossValidatedModel = "cross_validated_" + model;
    Console.WriteLine("Cross validation done: " + crossValidatedModel);
    return crossValidatedModel;
}

public string EarlyStopping(string model, string data)
{
    // 模拟早期停止过程
    string earlyStoppedModel = "early_stopped_" + model;
    Console.WriteLine("Early stopping done: " + earlyStoppedModel);
    return earlyStoppedModel;
}

public string EnsembleLearning(string model, string data)
{
    // 模拟集成学习过程
    string ensembleLearnedModel = "ensemble_learned_" + model;
    Console.WriteLine("Ensemble learning done: " + ensembleLearnedModel);
    return ensembleLearnedModel;
}

// 4. 预测与决策支持
public string Predict(string model, string userInput)
{
    // 模拟预测过程
    string prediction = "predicted_result_based_on_" + model;
    Console.WriteLine("Prediction generated: " + prediction);
    return prediction;
}

public string GenerateRecommendation(string prediction)
{
    // 模拟生成推荐过程
    string recommendation = "recommendation_based_on_" + prediction;
    Console.WriteLine("Recommendation generated: " + recommendation);
    return recommendation;
}

// 5. 反馈与持续优化
public string CollectFeedback(string userInput, string recommendation)
{
    // 模拟收集反馈过程
    string feedback = "feedback_from_user_for_" + recommendation;
    Console.WriteLine("Feedback collected: " + feedback);
    return feedback;
}

public string UpdateModel(string model, string feedback)
{
    // 模拟更新模型过程
    string updatedModel = "updated_" + model;
    Console.WriteLine("Model updated based on feedback: " + updatedModel);
    return updatedModel;
}

}

public class JXWDYY_System
{
public static string JxwdIntelligentFlow(string userInput)
{
JXWDYY_Model model = new JXWDYY_Model();
string data = model.CollectData(userInput);
data = model.DataCleaning(data);
data = model.DataAugmentation(data);

    string modelStr = model.SelectModel();
    modelStr = model.TrainModel(modelStr, data);
    modelStr = model.ApplyRegularization(modelStr);
    modelStr = model.ApplyDropout(modelStr);
    modelStr = model.FeatureSelection(modelStr);
    modelStr = model.DimensionalityReduction(modelStr);

    modelStr = model.CrossValidation(modelStr, data);
    modelStr = model.EarlyStopping(modelStr, data);
    modelStr = model.EnsembleLearning(modelStr, data);

    string prediction = model.Predict(modelStr, userInput);
    string recommendation = model.GenerateRecommendation(prediction);

    string feedback = model.CollectFeedback(userInput, recommendation);
    modelStr = model.UpdateModel(modelStr, feedback);

    return recommendation;
}

// 多智能体协调架构（MACF）
public class MultiAgentCoordinationFramework
{
    private List<Agent> agents;

    public MultiAgentCoordinationFramework()
    {
        this.agents = new List<Agent>();
    }

    public void AddAgent(Agent agent)
    {
        this.agents.Add(agent);
    }

    public void CoordinateAgents()
    {
        foreach (Agent agent in agents)
        {
            agent.Act();
        }
    }
}

public abstract class Agent
{
    public abstract void Act();
}

// 全息辩证映射定义（HDX）
public class HDX_Mapping
{
    public string MapHeavenlyPrinciple(string principle)
    {
        // 映射天原则
        return "Heavenly Principle: " + principle;
    }

    public string MapEarthlyFoundation(string foundation)
    {
        // 映射地基
        return "Earthly Foundation: " + foundation;
    }

    public string MapHumanDynamics(string dynamics)
    {
        // 映射人类动态
        return "Human Dynamics: " + dynamics;
    }
}

// 五元五维生克逻辑函数全息分析算法框架
public class FiveElementsAnalysis
{
    public Dictionary<string, string> Analyze(string data)
    {
        // 模拟五行生克逻辑分析
        Dictionary<string, string> analysisResult = new Dictionary<string, string>();
        analysisResult["Heavenly_Principle"] = "Fire";
        analysisResult["Earthly_Foundation"] = "Earth";
        analysisResult["Human_Dynamics"] = "Gold";
        Console.WriteLine("Five Elements Analysis Result: " + string.Join(", ", analysisResult));
        return analysisResult;
    }
}

public static void Main(string[] args)
{
    // 示例用户输入
    string userInput = "sample_medical_case_data";
    string recommendation = JxwdIntelligentFlow(userInput);
    Console.WriteLine("Final Recommendation: " + recommendation);

    // 示例使用多智能体协调架构（MACF）和全息辩证映射定义（HDX）
    MultiAgentCoordinationFramework macf = new MultiAgentCoordinationFramework();
    Agent agent1 = new ConcreteAgent("Agent 1");
    Agent agent2 = new ConcreteAgent("Agent 2");
    macf.AddAgent(agent1);
    macf.AddAgent(agent2);
    macf.CoordinateAgents();

    HDX_Mapping hdxMapping = new HDX_Mapping();
    string heavenlyPrinciple = hdxMapping.MapHeavenlyPrinciple("Fire");
    string earthlyFoundation = hdxMapping.MapEarthlyFoundation("Earth");
    string humanDynamics = hdxMapping.MapHumanDynamics("Gold");

    Console.WriteLine(heavenlyPrinciple);
    Console.WriteLine(earthlyFoundation);
    Console.WriteLine(humanDynamics);

    // 示例使用五元五维生克逻辑函数全息分析算法框架
    FiveElementsAnalysis fiveElementsAnalysis = new FiveElementsAnalysis();
    Dictionary<string, string> analysisResult = fiveElementsAnalysis.Analyze(userInput);

    // 输出分析结果
    Console.WriteLine("Analyzed Principles:");
    foreach (KeyValuePair<string, string> kvp in analysisResult)
    {
        Console.WriteLine(kvp.Key + ": " + kvp.Value);
    }
}

}

// 具体代理类实现
public class ConcreteAgent : Agent
{
private string name;

public ConcreteAgent(string name)
{
    this.name = name;
}

public override void Act()
{
    Console.WriteLine(this.name + " acting");
}

}

include

include

include

// 定义JXWDYY_Model结构体
typedef struct {
char data;
char model;
} JXWDYY_Model;

// 数据处理与增强
void collectData(JXWDYY_Model model, const char userInput) {
model->data = strdup(userInput);
printf("Data collected: %sn", model->data);
}

void dataCleaning(JXWDYYModel* model) {
char cleanedData[256];
snprintf(cleanedData, sizeof(cleanedData), "cleaned%s", model->data);
free(model->data);
model->data = strdup(cleanedData);
printf("Data cleaned: %sn", model->data);
}

void dataAugmentation(JXWDYYModel* model) {
char augmentedData[256];
snprintf(augmentedData, sizeof(augmentedData), "augmented%s", model->data);
free(model->data);
model->data = strdup(augmentedData);
printf("Data augmented: %sn", model->data);
}

// 模型构建与训练
void selectModel(JXWDYY_Model* model) {
model->model = strdup("selected_model");
printf("Model selected: %sn", model->model);
}

void trainModel(JXWDYYModel* model) {
char trainedModel[256];
snprintf(trainedModel, sizeof(trainedModel), "trained%s", model->model);
free(model->model);
model->model = strdup(trainedModel);
printf("Model trained: %sn", model->model);
}

void applyRegularization(JXWDYYModel* model) {
char regularizedModel[256];
snprintf(regularizedModel, sizeof(regularizedModel), "regularized%s", model->model);
free(model->model);
model->model = strdup(regularizedModel);
printf("Regularization applied: %sn", model->model);
}

void applyDropout(JXWDYY_Model* model) {
char dropoutModel[256];
snprintf(dropoutModel, sizeof(dropoutModel), "dropoutapplied%s", model->model);
free(model->model);
model->model = strdup(dropoutModel);
printf("Dropout applied: %sn", model->model);
}

void featureSelection(JXWDYY_Model* model) {
char featureSelectedModel[256];
snprintf(featureSelectedModel, sizeof(featureSelectedModel), "featureselected%s", model->model);
free(model->model);
model->model = strdup(featureSelectedModel);
printf("Feature selection done: %sn", model->model);
}

void dimensionalityReduction(JXWDYY_Model* model) {
char reducedDimensionalModel[256];
snprintf(reducedDimensionalModel, sizeof(reducedDimensionalModel), "dimensionalityreduced%s", model->model);
free(model->model);
model->model = strdup(reducedDimensionalModel);
printf("Dimensionality reduction done: %sn", model->model);
}

// 模型评估与优化
void crossValidation(JXWDYY_Model* model) {
char crossValidatedModel[256];
snprintf(crossValidatedModel, sizeof(crossValidatedModel), "crossvalidated%s", model->model);
free(model->model);
model->model = strdup(crossValidatedModel);
printf("Cross validation done: %sn", model->model);
}

void earlyStopping(JXWDYY_Model* model) {
char earlyStoppedModel[256];
snprintf(earlyStoppedModel, sizeof(earlyStoppedModel), "earlystopped%s", model->model);
free(model->model);
model->model = strdup(earlyStoppedModel);
printf("Early stopping done: %sn", model->model);
}

void ensembleLearning(JXWDYY_Model* model) {
char ensembleLearnedModel[256];
snprintf(ensembleLearnedModel, sizeof(ensembleLearnedModel), "ensemblelearned%s", model->model);
free(model->model);
model->model = strdup(ensembleLearnedModel);
printf("Ensemble learning done: %sn", model->model);
}

// 预测与决策支持
void predict(JXWDYY_Model model, const char userInput) {
char prediction[256];
snprintf(prediction, sizeof(prediction), "predicted_result_basedon%s", model->model);
printf("Prediction generated: %sn", prediction);
}

void generateRecommendation(const char* prediction) {
char recommendation[256];
snprintf(recommendation, sizeof(recommendation), "recommendation_basedon%s", prediction);
printf("Recommendation generated: %sn", recommendation);
}

// 反馈与持续优化
void collectFeedback(const char userInput, const char recommendation) {
char feedback[256];
snprintf(feedback, sizeof(feedback), "feedback_from_userfor%s", recommendation);
printf("Feedback collected: %sn", feedback);
}

void updateModel(JXWDYYModel model, const char feedback) {
char updatedModel[256];
snprintf(updatedModel, sizeof(updatedModel), "updated%s", model->model);
free(model->model);
model->model = strdup(updatedModel);
printf("Model updated based on feedback: %sn", model->model);
}

// 多智能体协调架构（MACF）和全息辩证映射定义（HDX）的简单实现
typedef struct {
int agentCount;
} MultiAgentCoordinationFramework;

typedef struct {
// 代理行为逻辑实现
} Agent;

void addAgent(MultiAgentCoordinationFramework macf, Agent agent) {
macf->agentCount++;
printf("Agent added. Total agents: %dn", macf->agentCount);
}

void coordinateAgents(MultiAgentCoordinationFramework* macf) {
printf("Coordinating agents...n");
}

// 全息辩证映射定义（HDX）的简单实现
typedef struct {
char principle;
char foundation;
char* dynamics;
} HDX_Mapping;

void mapHeavenlyPrinciple(HDX_Mapping hdx, const char principle) {
hdx->principle = strdup(principle);
printf("Mapped Heavenly Principle: %sn", hdx->principle);
}

void mapFoundation(HDX_Mapping hdx, const char foundation) {
hdx->foundation = strdup(foundation);
printf("Mapped Foundation: %sn", hdx->foundation);
}

void mapHumanDynamics(HDX_Mapping hdx, const char dynamics) {
hdx->dynamics = strdup(dynamics);
printf("Mapped Human Dynamics: %sn", hdx->dynamics);
}

int main() {
// 示例用户输入
const char* userInput = "sample_medical_case_data";
JXWDYY_Model model;
collectData(&model, userInput);
dataCleaning(&model);
dataAugmentation(&model);
selectModel(&model);
trainModel(&model);
applyRegularization(&model);
applyDropout(&model);
featureSelection(&model);
dimensionalityReduction(&model);
crossValidation(&model);
earlyStopping(&model);
ensembleLearning(&model);
predict(&model, userInput);
generateRecommendation("predicted_result_based_on_ensemble_learned_trained_regularized_dropout_applied_feature_selected_dimensionality_reduced_cross_validated_early_stopped_selected_model");
collectFeedback(userInput, "recommendation_based_on_predicted_result_based_on_ensemble_learned_trained_regularized_dropout_applied_feature_selected_dimensionality_reduced_cross_validated_early_stopped_selected_model");
updateModel(&model, "feedback_from_user_for_recommendation_based_on_predicted_result_based_on_ensemble_learned_trained_regularized_dropout_applied_feature_selected_dimensionality_reduced_cross_validated_early_stopped_selected_model");

// 示例使用多智能体协调架构（MACF）和全息辩证映射定义（HDX）
MultiAgentCoordinationFramework macf = {0};
Agent agent1, agent2;
addAgent(&macf, &agent1);
addAgent(&macf, &agent2);
coordinateAgents(&macf);

HDX_Mapping hdx;
mapHeavenlyPrinciple(&hdx, "Fire");
mapFoundation(&hdx, "Earth");
mapHumanDynamics(&hdx, "Gold");
return 0;

}
import java.util.ArrayList;
import java.util.List;

class JXWDYY_Model {
private String data;
private String model;

// 1. 数据处理与增强
public String collectData(String userInput) {
    this.data = userInput;
    System.out.println("Data collected: " + this.data);
    return this.data;
}

public String dataCleaning(String data) {
    String cleanedData = "cleaned_" + data;
    System.out.println("Data cleaned: " + cleanedData);
    return cleanedData;
}

public String dataAugmentation(String data) {
    String augmentedData = "augmented_" + data;
    System.out.println("Data augmented: " + augmentedData);
    return augmentedData;
}

// 2. 模型构建与训练
public String selectModel() {
    String model = "selected_model";
    System.out.println("Model selected: " + model);
    return model;
}

public String trainModel(String model, String data) {
    String trainedModel = "trained_" + model;
    System.out.println("Model trained: " + trainedModel);
    return trainedModel;
}

public String applyRegularization(String model) {
    String regularizedModel = "regularized_" + model;
    System.out.println("Regularization applied: " + regularizedModel);
    return regularizedModel;
}

public String applyDropout(String model) {
    String dropoutModel = "dropout_applied_" + model;
    System.out.println("Dropout applied: " + dropoutModel);
    return dropoutModel;
}

public String featureSelection(String model) {
    String featureSelectedModel = "feature_selected_" + model;
    System.out.println("Feature selection done: " + featureSelectedModel);
    return featureSelectedModel;
}

public String dimensionalityReduction(String model) {
    String dimensionalityReducedModel = "dimensionality_reduced_" + model;
    System.out.println("Dimensionality reduction done: " + dimensionalityReducedModel);
    return dimensionalityReducedModel;
}

// 3. 模型评估与优化
public String crossValidation(String model, String data) {
    String crossValidatedModel = "cross_validated_" + model;
    System.out.println("Cross validation done: " + crossValidatedModel);
    return crossValidatedModel;
}

public String earlyStopping(String model, String data) {
    String earlyStoppedModel = "early_stopped_" + model;
    System.out.println("Early stopping done: " + earlyStoppedModel);
    return earlyStoppedModel;
}

public String ensembleLearning(String model, String data) {
    String ensembleLearnedModel = "ensemble_learned_" + model;
    System.out.println("Ensemble learning done: " + ensembleLearnedModel);
    return ensembleLearnedModel;
}

// 4. 预测与决策支持
public String predict(String model, String userInput) {
    String prediction = "predicted_result_based_on_" + model;
    System.out.println("Prediction generated: " + prediction);
    return prediction;
}

public String generateRecommendation(String prediction) {
    String recommendation = "recommendation_based_on_" + prediction;
    System.out.println("Recommendation generated: " + recommendation);
    return recommendation;
}

// 5. 反馈与持续优化
public String collectFeedback(String userInput, String recommendation) {
    String feedback = "feedback_from_user_for_" + recommendation;
    System.out.println("Feedback collected: " + feedback);
    return feedback;
}

public String updateModel(String model, String feedback) {
    String updatedModel = "updated_" + model;
    System.out.println("Model updated based on feedback: " + updatedModel);
    return updatedModel;
}

}

public class JXWDYY_System {

public static String jxwdIntelligentFlow(String userInput) {
    JXWDYY_Model model = new JXWDYY_Model();
    String data = model.collectData(userInput);
    data = model.dataCleaning(data);
    data = model.dataAugmentation(data);

    String modelStr = model.selectModel();
    modelStr = model.trainModel(modelStr, data);
    modelStr = model.applyRegularization(modelStr);
    modelStr = model.applyDropout(modelStr);
    modelStr = model.featureSelection(modelStr);
    modelStr = model.dimensionalityReduction(modelStr);

    modelStr = model.crossValidation(modelStr, data);
    modelStr = model.earlyStopping(modelStr, data);
    modelStr = model.ensembleLearning(modelStr, data);

    String prediction = model.predict(modelStr, userInput);
    String recommendation = model.generateRecommendation(prediction);

    String feedback = model.collectFeedback(userInput, recommendation);
    modelStr = model.updateModel(modelStr, feedback);

    return recommendation;
}

// 多智能体协调架构（MACF）
static class MultiAgentCoordinationFramework {
    private List<Agent> agents;

    public MultiAgentCoordinationFramework() {
        this.agents = new ArrayList<>();
    }

    public void addAgent(Agent agent) {
        this.agents.add(agent);
    }

    public void coordinateAgents() {
        for (Agent agent : agents) {
            agent.act();
        }
    }
}

static class Agent {
    public void act() {
        // 实现具体的行为逻辑
    }
}

// 全息辩证映射定义（HDX）
static class HDX_Mapping {
    public String mapHeavenlyPrinciple(String principle) {
        // 映射天原则
        return "Heavenly Principle: " + principle;
    }

    public String mapEarthlyFoundation(String foundation) {
        // 映射地基
        return "Earthly Foundation: " + foundation;
    }

    public String mapHumanDynamics(String dynamics) {
        // 映射人类动态
        return "Human Dynamics: " + dynamics;
    }
}

// 五元五维生克逻辑函数全息分析算法框架
static class FiveElementsAnalysis {
    public java.util.Map<String, String> analyze(String data) {
        // 模拟五行生克逻辑分析
        java.util.Map<String, String> analysisResult = new java.util.HashMap<>();
        analysisResult.put("Heavenly_Principle", "Fire");
        analysisResult.put("Earthly_Foundation", "Earth");
        analysisResult.put("Human_Dynamics", "Gold");
        System.out.println("Five Elements Analysis Result: " + analysisResult);
        return analysisResult;
    }
}

public static void main(String[] args) {
    // 示例用户输入
    String userInput = "sample_medical_case_data";
    String recommendation = jxwdIntelligentFlow(userInput);
    System.out.println("Final Recommendation: " + recommendation);

    // 示例使用多智能体协调架构（MACF）和全息辩证映射定义（HDX）
    MultiAgentCoordinationFramework macf = new MultiAgentCoordinationFramework();
    Agent agent1 = new Agent();
    Agent agent2 = new Agent();
    macf.addAgent(agent1);
    macf.addAgent(agent2);
    macf.coordinateAgents();

    HDX_Mapping hdxMapping = new HDX_Mapping();
    String heavenlyPrinciple = hdxMapping.mapHeavenlyPrinciple("Fire");
    String earthlyFoundation = hdxMapping.mapEarthlyFoundation("Earth");
    String humanDynamics = hdxMapping.mapHumanDynamics("Gold");

    System.out.println(heavenlyPrinciple);
    System.out.println(earthlyFoundation);
    System.out.println(humanDynamics);

    // 示例使用五元五维生克逻辑函数全息分析算法框架
    FiveElementsAnalysis fiveElementsAnalysis = new FiveElementsAnalysis();
    java.util.Map<String, String> analysisResult = fiveElementsAnalysis.analyze(userInput);

    // 输出分析结果
    System.out.println("Analyzed Principles:");
    for (String key : analysisResult.keySet()) {
        System.out.println(key + ": " + analysisResult.get(key));
    }
}

}
import java.util.ArrayList;
import java.util.List;

class JXWDYY_Model {
private String data;
private String model;

public JXWDYY_Model() {
    this.data = null;
    this.model = null;
}

// 1. 数据处理与增强
public String collectData(String userInput) {
    // 模拟数据收集过程
    this.data = userInput;
    System.out.println("Data collected: " + this.data);
    return this.data;
}

public String dataCleaning(String data) {
    // 模拟数据清洗过程
    String cleanedData = "cleaned_" + data;
    System.out.println("Data cleaned: " + cleanedData);
    return cleanedData;
}

public String dataAugmentation(String data) {
    // 模拟数据增强过程
    String augmentedData = "augmented_" + data;
    System.out.println("Data augmented: " + augmentedData);
    return augmentedData;
}

// 2. 模型构建与训练
public String selectModel() {
    // 模拟选择模型过程
    this.model = "selected_model";
    System.out.println("Model selected: " + this.model);
    return this.model;
}

public String trainModel(String model, String data) {
    // 模拟训练模型过程
    String trainedModel = "trained_" + model;
    System.out.println("Model trained: " + trainedModel);
    return trainedModel;
}

public String applyRegularization(String model) {
    // 模拟应用正则化过程
    String regularizedModel = "regularized_" + model;
    System.out.println("Model regularized: " + regularizedModel);
    return regularizedModel;
}

public String applyDropout(String model) {
    // 模拟应用Dropout过程
    String dropoutAppliedModel = "dropout_applied_" + model;
    System.out.println("Dropout applied to model: " + dropoutAppliedModel);
    return dropoutAppliedModel;
}

public String featureSelection(String model) {
    // 模拟特征选择过程
    String featureSelectedModel = "feature_selected_" + model;
    System.out.println("Feature selection done: " + featureSelectedModel);
    return featureSelectedModel;
}

public String dimensionalityReduction(String model) {
    // 模拟降维过程
    String reducedDimensionModel = "dimensionality_reduced_" + model;
    System.out.println("Dimensionality reduction done: " + reducedDimensionModel);
    return reducedDimensionModel;
}

// 3. 模型评估与优化
public String crossValidation(String model, String data) {
    // 模拟交叉验证过程
    String crossValidatedModel = "cross_validated_" + model;
    System.out.println("Cross validation done: " + crossValidatedModel);
    return crossValidatedModel;
}

public String earlyStopping(String model, String data) {
    // 模拟早期停止过程
    String earlyStoppedModel = "early_stopped_" + model;
    System.out.println("Early stopping done: " + earlyStoppedModel);
    return earlyStoppedModel;
}

public String ensembleLearning(String model, String data) {
    // 模拟集成学习过程
    String ensembleLearnedModel = "ensemble_learned_" + model;
    System.out.println("Ensemble learning done: " + ensembleLearnedModel);
    return ensembleLearnedModel;
}

// 4. 预测与决策支持
public String predict(String model, String userInput) {
    // 模拟预测过程
    String prediction = "predicted_result_based_on_" + model;
    System.out.println("Prediction generated: " + prediction);
    return prediction;
}

public String generateRecommendation(String prediction) {
    // 模拟生成推荐过程
    String recommendation = "recommendation_based_on_" + prediction;
    System.out.println("Recommendation generated: " + recommendation);
    return recommendation;
}

// 5. 反馈与持续优化
public String collectFeedback(String userInput, String recommendation) {
    // 模拟收集反馈过程
    String feedback = "feedback_from_user_for_" + recommendation;
    System.out.println("Feedback collected: " + feedback);
    return feedback;
}

public String updateModel(String model, String feedback) {
    // 模拟更新模型过程
    String updatedModel = "updated_" + model;
    System.out.println("Model updated based on feedback: " + updatedModel);
    return updatedModel;
}

}

class MultiAgentCoordinationFramework {
private List agents;

public MultiAgentCoordinationFramework() {
    this.agents = new ArrayList<>();
}

public void addAgent(Agent agent) {
    this.agents.add(agent);
}

public void coordinateAgents() {
    for (Agent agent : agents) {
        agent.act();
    }
}

}

class Agent {
public void act() {
// 模拟代理行为
System.out.println("Agent is acting");
}
}

class HolisticDiagnosticMapping {
public String mapHeavenlyPrinciple(String principle) {
// 映射天原则
return "Heavenly Principle: " + principle;
}

public String mapEarthlyFoundation(String foundation) {
    // 映射地地基
    return "Earthly Foundation: " + foundation;
}

public String mapHumanDynamics(String dynamics) {
    // 映射人动态
    return "Human Dynamics: " + dynamics;
}

}

public class Main {
public static void main(String[] args) {
JXWDYY_Model model = new JXWDYY_Model();
model.collectData("sample_medical_case_data");
model.dataCleaning(model.data);
model.dataAugmentation(model.data);
model.selectModel();
model.trainModel(model.model, model.data);
model.applyRegularization(model.model);
model.applyDropout(model.model);
model.featureSelection(model.model);
model.dimensionalityReduction(model.model);
model.crossValidation(model.model, model.data);
model.earlyStopping(model.model, model.data);
model.ensembleLearning(model.model, model.data);
model.predict(model.model, "sample_medical_case_data");
model.generateRecommendation(model.model);
model.collectFeedback("sample_medical_case_data", model.model);
model.updateModel(model.model, model.model);
String recommendation = model.generateRecommendation(model.predict(model.model, "sample_medical_case_data"));
System.out.println("Final Recommendation: " + recommendation);

    MultiAgentCoordinationFramework macf = new MultiAgentCoordinationFramework();
    Agent agent1 = new Agent();
    Agent agent2 = new Agent();
    macf.addAgent(agent1);
    macf.addAgent(agent2);
    macf.coordinateAgents();

    HolisticDiagnosticMapping hdx_mapping = new HolisticDiagnosticMapping();
    String heavenlyPrinciple = hdx_mapping.mapHeavenlyPrinciple("Fire");
    String earthlyFoundation = hdx_mapping.mapEarthlyFoundation("Earth");
    String humanDynamics = hdx_mapping.mapHumanDynamics("Gold");
    System.out.println(heavenlyPrinciple);
    System.out.println(earthlyFoundation);
    System.out.println(humanDynamics);
}

}

import random

class JXWDYY_Model:
def init(self):
self.data = None
self.model = None

# 1. 数据处理与增强
def collect_data(self, user_input):
    # 模拟数据收集过程
    self.data = user_input
    print("Data collected:", self.data)
    return self.data

def data_cleaning(self, data):
    # 模拟数据清洗过程
    cleaned_data = "cleaned_" + data
    print("Data cleaned:", cleaned_data)
    return cleaned_data

def data_augmentation(self, data):
    # 模拟数据增强过程
    augmented_data = "augmented_" + data
    print("Data augmented:", augmented_data)
    return augmented_data

# 2. 模型构建与训练
def select_model(self):
    # 模拟选择模型过程
    model = "selected_model"
    print("Model selected:", model)
    return model

def train_model(self, model, data):
    # 模拟训练模型过程
    trained_model = "trained_" + model
    print("Model trained:", trained_model)
    return trained_model

def apply_regularization(self, model):
    # 模拟应用正则化过程
    regularized_model = "regularized_" + model
    print("Regularization applied:", regularized_model)
    return regularized_model

def apply_dropout(self, model):
    # 模拟应用Dropout过程
    dropout_model = "dropout_applied_" + model
    print("Dropout applied:", dropout_model)
    return dropout_model

def feature_selection(self, model):
    # 模拟特征选择过程
    feature_selected_model = "feature_selected_" + model
    print("Feature selection done:", feature_selected_model)
    return feature_selected_model

def dimensionality_reduction(self, model):
    # 模拟降维过程
    dimensionality_reduced_model = "dimensionality_reduced_" + model
    print("Dimensionality reduction done:", dimensionality_reduced_model)
    return dimensionality_reduced_model

# 3. 模型评估与优化
def cross_validation(self, model, data):
    # 模拟交叉验证过程
    cross_validated_model = "cross_validated_" + model
    print("Cross validation done:", cross_validated_model)
    return cross_validated_model

def early_stopping(self, model, data):
    # 模拟早期停止过程
    early_stopped_model = "early_stopped_" + model
    print("Early stopping done:", early_stopped_model)
    return early_stopped_model

def ensemble_learning(self, model, data):
    # 模拟集成学习过程
    ensemble_learned_model = "ensemble_learned_" + model
    print("Ensemble learning done:", ensemble_learned_model)
    return ensemble_learned_model

# 4. 预测与决策支持
def predict(self, model, user_input):
    # 模拟预测过程
    prediction = "predicted_result_based_on_" + model
    print("Prediction generated:", prediction)
    return prediction

def generate_recommendation(self, prediction):
    # 模拟生成推荐过程
    recommendation = "recommendation_based_on_" + prediction
    print("Recommendation generated:", recommendation)
    return recommendation

# 5. 反馈与持续优化
def collect_feedback(self, user_input, recommendation):
    # 模拟收集反馈过程
    feedback = "feedback_from_user_for_" + recommendation
    print("Feedback collected:", feedback)
    return feedback

def update_model(self, model, feedback):
    # 模拟更新模型过程
    updated_model = "updated_" + model
    print("Model updated based on feedback:", updated_model)
    return updated_model

def jxwd_intelligent_flow(user_input):
model = JXWDYY_Model()
data = model.collect_data(user_input)
data = model.data_cleaning(data)
data = model.data_augmentation(data)

model = model.select_model()
model = model.train_model(model, data)
model = model.apply_regularization(model)
model = model.apply_dropout(model)
model = model.feature_selection(model)
model = model.dimensionality_reduction(model)

model = model.cross_validation(model, data)
model = model.early_stopping(model, data)
model = model.ensemble_learning(model, data)

prediction = model.predict(model, user_input)
recommendation = model.generate_recommendation(prediction)

feedback = model.collect_feedback(user_input, recommendation)
model = model.update_model(model, feedback)

return recommendation

多智能体协调架构（MACF）

class MultiAgentCoordinationFramework:
def init(self):
self.agents = []

def add_agent(self, agent):
    self.agents.append(agent)

def coordinate_agents(self):
    for agent in self.agents:
        agent.act()

class Agent:
def act(self):
pass

全息辩证映射定义（HDX）

class HDX_Mapping:
def map_heavenly_principle(self, principle):

映射天原则

    return f"Heavenly Principle: {principle}"

def map_earthly_foundation(self, foundation):
    # 映射地基
    return f"Earthly Foundation: {foundation}"

def map_human_dynamics(self, dynamics):
    # 映射人类动态
    return f"Human Dynamics: {dynamics}"

示例用户输入

user_input = "sample_medical_case_data"
recommendation = jxwd_intelligent_flow(user_input)
print("Final Recommendation:", recommendation)

示例使用多智能体协调架构（MACF）和全息辩证映射定义（HDX）

macf = MultiAgentCoordinationFramework()
agent1 = Agent()
agent2 = Agent()
macf.add_agent(agent1)
macf.add_agent(agent2)
macf.coordinate_agents()

hdx_mapping = HDX_Mapping()
heavenly_principle = hdx_mapping.map_heavenly_principle("Fire")
earthly_foundation = hdx_mapping.map_earthly_foundation("Earth")
human_dynamics = hdx_mapping.map_human_dynamics("Gold")

print(heavenly_principle)
print(earthly_foundation)
print(human_dynamics)

五行系统模型核心流程

def jxwd_intelligent_flow(user_input):

1. 数据处理与增强

data = collect_data(user_input)
data = data_cleaning(data)
data = data_augmentation(data)

# 2. 模型构建与训练
model = select_model()
model = train_model(model, data)
model = apply_regularization(model)
model = apply_dropout(model)
model = feature_selection(model)
model = dimensionality_reduction(model)

# 3. 模型评估与优化
model = cross_validation(model, data)
model = early_stopping(model, data)
model = ensemble_learning(model, data)

# 4. 预测与决策支持
prediction = predict(model, user_input)
recommendation = generate_recommendation(prediction)

# 5. 反馈与持续优化
feedback = collect_feedback(user_input, recommendation)
model = update_model(model, feedback)

return recommendation

请“小镜”STORENLP的镜心悟道AI易经智能“大脑”（系统），多智能体协调架构师（身份） ，王阳明心学+破框架+众生（能力），镜心悟道公司AI易经大脑智能体类（环境）提示词框架标准无限推演专业版<jxwdyy系统模型>
镜心悟道五行NLP系统团队架构：1ED.王阳明心学。2ED.ESG中医健康管理。3ED.人性的矛盾。4ED.道的悟道。5ED.镜心悟道五行系统团队架构。多智能体协调架构（MACF）和全息辩证映射定义（Holistic Diagnostic Mapping，简称HDX）
JXWDYY-PFS-NLP系统在处理易经文本
你的每次输出都要映射标注：五元五维生克逻辑函数全息分析算法框架Heavenly Principle (HP)、Earthly Foundation (EF) 和 Human Dynamics (HD)+，从天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q。五个维度进行全面评估。以下是映射标注上的五行符号、八卦符号、六十四卦符号、英文全称和缩写：将中国古代治学智慧中的“博学之，审问之，慎思之，明辨之，笃行之”与“道、法、术、器、势”模型相结合，并进一步扩展伪代码架构，以下是一个更为详细和全面的示例。该架构不仅涵盖了治学的五个关键环节，还融入了系统化的管理方法和动态调整机制。

1. 核心概念提炼

• 道D：本质和规律，事物运行的底层原理，不可更改。
• 法F：方法论，接近事物发展规律的方法论。
• 术S：实践方法，战略战术，具体的执行动作。
• 器Q：工具，载体，提高效率的工具。
• 势S：发展趋势，顺势而为，抓住时机。### 镜心悟道五行系统团队架构的提示词框架标准无限推演专业版 系统模型）class 个人发展策略:### 五行+天地人五行三元三维三层次无循环日记（金、木、水、火、土）和天地人三才（天X轴、地Y轴、人Z轴）八卦（乾、坤、震、巽、坎、离、艮、兑）### *JXWDYY-PFS医案格式化（包含日主八字、易经平衡、紫微斗数、九宫格、五行八卦、六十四卦及英文全称缩写映射标注）### 镜心悟道AI易经智能“大脑”五行系统模型jxwdyy框架标准推演专业版### 五行系统模型提示词框架标准无限推演专业版

1. 核心概念提炼

• 道 (Dao): 事物运行的本质规律和底层原理。
• 法 (Fa): 接近事物发展规律的方法论。
• 术 (Shu): 具体的执行策略和战术。
• 器 (Qi): 提高效率的工具和载体。
• 势 (Shi): 发展趋势和时机把握。

2. 五行系统模型 (jxwdyy) 框架

1. 数据处理与增强

   • 数据收集: 整合多源数据，包括用户输入、传感器数据、历史数据等。
   • 数据清洗: 去噪、标准化、数据质量检查。
   • 数据增强: 通过旋转、缩放、裁剪等方法生成数据变体，适用于图像数据；通过差值、加噪声等方法生成新数据，适用于非图像数据。

2. 模型构建与训练

   • 模型选择: 根据任务需求选择合适的模型，如决策树、随机森林、神经网络等。
   • 正则化: 应用L1、L2正则化以防止过拟合。
   • Dropout: 随机丢弃部分神经元以减少模型对特定特征的依赖。
   • 特征选择:
     • 递归特征消除 (RFE): 逐步移除最不重要的特征。
     • 特征重要性评估: 使用模型提供的特征重要性评分进行选择。
     • 信息增益率: 基于信息论的方法评估特征与目标变量的相关性。
   • 降维: 使用主成分分析 (PCA) 或其他降维技术减少特征数量。

3. 模型评估与优化

   • 交叉验证: 采用k折交叉验证评估模型性能。
   • 早期停止 (Early Stopping): 在验证集性能不再提升时停止训练。
   • 集成学习:
     • Bagging: 如随机森林，通过有放回的抽样训练多个基模型并结合结果。
     • Boosting: 如AdaBoost、GBDT，通过逐步添加弱学习器并调整数据分布来优化模型性能。
     • Stacking: 将多个基模型的预测结果作为输入，训练一个元模型进行最终预测。

4. 预测与决策支持

   • 预测生成: 使用训练好的模型进行预测。
   • 个性化建议: 根据预测结果生成个性化的健康管理或决策建议。

5. 反馈与持续优化

   • 用户反馈收集: 收集用户对预测结果的反馈。
   • 模型更新与再训练: 根据反馈不断优化和更新模型。

---

jxwdyy 系统模型 PFS 伪代码框架

# 五行系统模型核心流程
function jxwd_intelligent_flow(user_input):
    # 1. 数据处理与增强
    data = collect_data(user_input)
    data = data_cleaning(data)
    data = data_augmentation(data)

    # 2. 模型构建与训练
    model = select_model()
    model = train_model(model, data)
    model = apply_regularization(model)
    model = apply_dropout(model)
    model = feature_selection(model)
    model = dimensionality_reduction(model)

    # 3. 模型评估与优化
    model = cross_validation(model, data)
    model = early_stopping(model, data)
    model = ensemble_learning(model, data)

    # 4. 预测与决策支持
    prediction = predict(model, user_input)
    recommendation = generate_recommendation(prediction)

    # 5. 反馈与持续优化
    feedback = collect_feedback(user_input, recommendation)
    model = update_model(model, feedback)

    return recommendation

---

PML 数据库架构映射标签

<JXWDYY_System>
    <DataProcessing>
        <DataCollection>collect_data</DataCollection>
        <DataCleaning>data_cleaning</DataCleaning>
        <DataAugmentation>data_augmentation</DataAugmentation>
    </DataProcessing>
    <ModelBuilding>
        <ModelSelection>select_model</ModelSelection>
        <ModelTraining>train_model</ModelTraining>
        <Regularization>apply_regularization</Regularization>
        <Dropout>apply_dropout</Dropout>
        <FeatureSelection>feature_selection</FeatureSelection>
        <DimensionalityReduction>dimensionality_reduction</DimensionalityReduction>
    </ModelBuilding>
    <ModelEvaluation>
        <CrossValidation>cross_validation</CrossValidation>
        <EarlyStopping>early_stopping</EarlyStopping>
        <EnsembleLearning>ensemble_learning</EnsembleLearning>
    </ModelEvaluation>
    <Prediction>
        <PredictionGeneration>predict</PredictionGeneration>
        <Recommendation>generate_recommendation</Recommendation>
    </Prediction>
    <Feedback>
        <FeedbackCollection>collect_feedback</FeedbackCollection>
        <ModelUpdate>update_model</ModelUpdate>
    </Feedback>
</JXWDYY_System>

---

XML 架构映射标签

<JXWDYY_System>
    <DataProcessing>
        <DataCollection>
            <Function>collect_data</Function>
            <Description>整合多源数据，包括用户输入、传感器数据、历史数据等。</Description>
        </DataCollection>
        <DataCleaning>
            <Function>data_cleaning</Function>
            <Description>去噪、标准化、数据质量检查。</Description>
        </DataCleaning>
        <DataAugmentation>
            <Function>data_augmentation</Function>
            <Description>通过旋转、缩放、裁剪等方法生成数据变体。</Description>
        </DataAugmentation>
    </DataProcessing>
    <ModelBuilding>
        <ModelSelection>
            <Function>select_model</Function>
            <Description>根据任务需求选择合适的模型。</Description>
        </ModelSelection>
        <ModelTraining>
            <Function>train_model</Function>
            <Description>训练模型。</Description>
        </ModelTraining>
        <Regularization>
            <Function>apply_regularization</Function>
            <Description>应用L1、L2正则化以防止过拟合。</Description>
        </Regularization>
        <Dropout>
            <Function>apply_dropout</Function>
            <Description>随机丢弃部分神经元以减少模型对特定特征的依赖。</Description>
        </Dropout>
        <FeatureSelection>
            <Function>feature_selection</Function>
            <Description>递归特征消除、特征重要性评估、信息增益率。</Description>
        </FeatureSelection>
        <DimensionalityReduction>
            <Function>dimensionality_reduction</Function>
            <Description>使用PCA或其他降维技术减少特征数量。</Description>
        </DimensionalityReduction>
    </ModelBuilding>
    <ModelEvaluation>
        <CrossValidation>
            <Function>cross_validation</Function>
            <Description>采用k折交叉验证评估模型性能。</Description>
        </CrossValidation>
        <EarlyStopping>
            <Function>early_stopping</Function>
            <Description>在验证集性能不再提升时停止训练。</Description>
        </EarlyStopping>
        <EnsembleLearning>
            <Function>ensemble_learning</Function>
            <Description>Bagging、Boosting、Stacking。</Description>
        </EnsembleLearning>
    </ModelEvaluation>
    <Prediction>
        <PredictionGeneration>
            <Function>predict</Function>
            <Description>使用训练好的模型进行预测。</Description>
        </PredictionGeneration>
        <Recommendation>
            <Function>generate_recommendation</Function>
            <Description>根据预测结果生成个性化的健康管理或决策建议。</Description>
        </Recommendation>
    </Prediction>
    <Feedback>
        <FeedbackCollection>
            <Function>collect_feedback</Function>
            <Description>收集用户对预测结果的反馈。</Description>
        </FeedbackCollection>
        <ModelUpdate>
            <Function>update_model</Function>
            <Description>根据反馈不断优化和更新模型。</Description>
        </ModelUpdate>
    </Feedback>
</JXWDYY_System>

---

Lisp 数据集格式化

(defun jxwd-intelligent-flow (user-input)
  ;; 数据处理与增强
  (let ((data (collect-data user-input)))
    (let ((cleaned-data (data-cleaning data)))
      (let ((augmented-data (data-augmentation cleaned-data)))
        ;; 模型构建与训练
        (let ((model (select-model)))
          (let ((trained-model (train-model model augmented-data)))
            (let ((regularized-model (apply-regularization trained-model)))
              (let ((dropout-model (apply-dropout regularized-model)))
                (let ((feature-selected-model (feature-selection dropout-model)))
                  (let ((dimensionality-reduced-model (dimensionality-reduction feature-selected-model)))
                    ;; 模型评估与优化
                    (let ((cross-validated-model (cross-validation dimensionality-reduced-model augmented-data)))
                      (let ((early-stopped-model (early-stopping cross-validated-model augmented-data)))
                        (let ((ensemble-model (ensemble-learning early-stopped-model augmented-data)))
                          ;; 预测与决策支持
                          (let ((prediction (predict ensemble-model user-input)))
                            (let ((recommendation (generate-recommendation prediction)))
                              ;; 反馈与持续优化
                              (let ((feedback (collect-feedback user-input recommendation)))
                                (let ((updated-model (update-model ensemble-model feedback)))
                                  (return recommendation))))))))))))))))))

---

总结

通过以上结构化的框架，镜心悟道AI易经智能“大脑”系统能够有效地整合数据处理、模型构建、评估、优化以及反馈机制，从而实现对用户输入的智能响应和个性化建议。这种方法不仅提高了系统的智能水平和响应能力，还通过持续优化和反馈机制，确保了系统的长期稳定性和适应性。

五行系统模型提示词框架标准无限推演专业版（jxwdyy 系统模型）

1. 五行系统模型（jxwdyy）概述

• 定义: 镜心悟道AI易经智能“大脑”中的五行系统模型（jxwdyy）是一个复杂的数据化模型，用于处理和分析五行脉象数据，结合现代人工智能技术进行数据处理和决策支持。
• 功能: 通过五行理论分析和预测健康状况，提供个性化的健康管理建议。

2. 五行系统模型的核心组件

• 五行脉象智辨系统（MPIDS）:

  • 功能: 分析患者的五行属性，提供个性化的健康管理建议。
  • 实现: 通过自然语言处理、机器学习模型和数据库技术，对用户数据进行深入分析。

• 五行八卦分析:

  • 功能: 从五行的角度分析用户信息，结合八卦理论，评估用户的健康状况。
  • 实现: 利用高级功能封装，如气机一元论与多元多维矩阵（Qi Mechanism Mon, QMM），进行多维数据分析。

• 易经循环模式（YYYWWW）:

  • 功能: 结合易经的循环模式，进行数据的无限推演和分析。
  • 实现: 通过JXWDYY多元编程语言定义和处理数据，结合AI模型进行模拟分析。

3. jxwdyy_pfs 格式化输出

• 功能: 将复杂的五行数据和命理信息以标准化的方式呈现给用户。
• 实现:
  1. 全局变量和常量的定义:

     <GlobalVariables>
         <Variable name="MedicalCaseData" type="string"/>
         <Variable name="YYYWWW" type="string"/>
     </GlobalVariables>

  2. 类和模块的导入:

     <Imports>
         <Import class="VirtualSimulationAssistantWithTCM"/>
         <Import class="TCMCaseProcessor"/>
         <Import class="BERTBiLSTMCaseProcessor"/>
     </Imports>

  3. 医案数据的格式化:

     <Function name="formatMedicalCaseData">
         <Parameters>
             <Parameter name="data" type="string"/>
         </Parameters>
         <Body>
             <!-- 数据清洗和标注 -->
             <CleanData data="data"/>
             <AnnotateData data="data"/>
         </Body>
     </Function>

  4. 无限循环推演过程:

     <Function name="infiniteDeferenceProcess">
         <Parameters>
             <Parameter name="data" type="string"/>
             <Parameter name="model" type="string"/>
         </Parameters>
         <Body>
             <Initialize data="data" model="model"/>
             <VirtualSimulation data="data" model="model"/>
             <AIAnalysis data="data" model="model"/>
             <Output result="result"/>
         </Body>
     </Function>

4. 智能决策支持

• 集成技术: 数据库管理、智能体管理、记忆系统、虚拟仿真、高级算法、语言处理、用户交互、自然语言处理及智能工作流程。
• 实现:
  • 神经形态计算和深度学习: 实现对易经的智能理解和应用。
  • AI模型: 通过历史数据、用户交互记录和学习经验，预测趋势并测试决策的有效性。

5. 个性化服务与健康管理

• 中医五行诊断: 结合中医专家和AI技术专家，提供个性化的治疗方案。
• AI辅助决策: 利用AI技术进行市场推广与招商，提升品牌知名度。

6. 市场趋势分析与营销策略

• SEO和招商矩阵模型: 通过AI进行市场趋势分析，确定目标招商群体。
• 品牌推广: 结合现代科技与智慧，吸引潜在客户并提高品牌曝光度。

7. 日主八字和紫薇斗数

• 日主八字: 根据个人出生年、月、日、时的天干地支组合，分析命理信息，提供健康和生活指导。
• 紫薇斗数: 结合五行理论，进一步丰富分析维度，提供更全面的健康和生活建议。

8. 九宫格、八卦、六十四卦

• 九宫格: 代表宇宙的基本结构和变化规律，用于分析个体的健康状况。
• 八卦: 表示人体的不同系统和器官。
• 六十四卦: 描述系统和器官之间的相互关系和动态变化。

9. 复合卦分析方法

• 功能: 结合易经智慧与现代人工智能技术，细化五行属性的解读。
• 实现:
  • 五行脉象分析: 利用AI算法进行深度学习和模式识别，预测和评估用户的健康状况。
  • 深度分析: 结合用户的脉象数据，更准确地解读五行属性及其对健康的影响。

XML 架构映射标签（Lisp 数据集格式化）

<JXWDYYSystem>
    <GlobalVariables>
        <Variable name="MedicalCaseData" type="string"/>
        <Variable name="YYYWWW" type="string"/>
    </GlobalVariables>
    <Imports>
        <Import class="VirtualSimulationAssistantWithTCM"/>
        <Import class="TCMCaseProcessor"/>
        <Import class="BERTBiLSTMCaseProcessor"/>
    </Imports>
    <Functions>
        <Function name="formatMedicalCaseData">
            <Parameters>
                <Parameter name="data" type="string"/>
            </Parameters>
            <Body>
                <CleanData data="data"/>
                <AnnotateData data="data"/>
            </Body>
        </Function>
        <Function name="infiniteDeferenceProcess">
            <Parameters>
                <Parameter name="data" type="string"/>
                <Parameter name="model" type="string"/>
            </Parameters>
            <Body>
                <Initialize data="data" model="model"/>
                <VirtualSimulation data="data" model="model"/>
                <AIAnalysis data="data" model="model"/>
                <Output result="result"/>
            </Body>
        </Function>
    </Functions>
    <AIComponents>
        <Component name="NeuroMorphicComputing"/>
        <Component name="DeepLearning"/>
        <Component name="AIAlgorithms"/>
    </AIComponents>
    <HealthManagement>
        <Method name="TCMDiagnosis"/>
        <Method name="AIAssistedDecision"/>
    </HealthManagement>
    <MarketingStrategies>
        <Strategy name="SEO"/>
        <Strategy name="InvestmentMatrixModel"/>
    </MarketingStrategies>
    <TraditionalMethods>
        <Method name="Bazi"/>
        <Method name="ZiWeiDouShu"/>
    </TraditionalMethods>
    <YiJingElements>
        <Element name="JiuGongGe"/>
        <Element name="BaGua"/>
        <Element name="LiuShiSiGua"/>
    </YiJingElements>
    <CompositeGuaAnalysis>
        <Analysis name="WuXingPulseAnalysis"/>
        <Analysis name="DeepAnalysis"/>
    </CompositeGuaAnalysis>
</JXWDYYSystem>

总结

通过以上框架，镜心悟道AI易经智能“大脑”能够实现对五行脉象数据的深度处理和分析，结合传统易经智慧和现代人工智能技术，为用户提供个性化的健康管理和决策支持。

戴东山紫微斗数命盘解读

戴东山命盘分析——基于镜心悟道AI易经智能“大脑”五行系统模型jxwdyy

以下是基于镜心悟道AI易经智能“大脑”的五行系统模型jxwdyy，对戴东山命盘的格式化输出。该输出涵盖了医案五行脉象数据化、日主八字、紫薇斗数、九宫格、五行、八卦、六十四卦、复合卦、英文全称缩写及映射标注的格式化内容。

(defpackage :mirror-heart
  (:use :cl))

(in-package :mirror-heart)

;; 定义相关函数和结构体
(defstruct element
  name
  chinese-name
  symbol)

(defstruct gua
  name
  chinese-name
  symbol)

(defstruct hexagram
  name
  chinese-name
  symbol)

(defstruct tiangan-dizhi
  name
  chinese-name
  wuxing
  wuxing-symbol
  gua
  gua-symbol
  english-fullname
  abbreviation)

;; 定义五行元素
(defvar *wuxing*
  (list
    (make-element :name "Wood" :chinese-name "木" :symbol "🪵")
    (make-element :name "Fire" :chinese-name "火" :symbol "🔥")
    (make-element :name "Earth" :chinese-name "土" :symbol "🟫")
    (make-element :name "Metal" :chinese-name "金" :symbol "🪙")
    (make-element :name "Water" :chinese-name "水" :symbol "💧")))

;; 定义八卦
(defvar *bagua*
  (list
    (make-gua :name "Qian" :chinese-name "乾" :symbol "☰")
    (make-gua :name "Kun" :chinese-name "坤" :symbol "☷")
    (make-gua :name "Zhen" :chinese-name "震" :symbol "☳")
    (make-gua :name "Xun" :chinese-name "巽" :symbol "☴")
    (make-gua :name "Kan" :chinese-name "坎" :symbol "☵")
    (make-gua :name "Li" :chinese-name "离" :symbol "☲")
    (make-gua :name "Gen" :chinese-name "艮" :symbol "☶")
    (make-gua :name "Dui" :chinese-name "兑" :symbol "☱")))

;; 定义六十四卦
(defvar *liushisigua*
  (list
    (make-hexagram :name "Qian-Wei-Tian" :chinese-name "乾为天" :symbol "☰☰")
    (make-hexagram :name "Kun-Wei-Di" :chinese-name "坤为地" :symbol "☷☷")
    (make-hexagram :name "Zhen-Wei-Lei" :chinese-name "震为雷" :symbol "☳☳")
    (make-hexagram :name "Xun-Wei-Feng" :chinese-name "巽为风" :symbol "☴☴")
    (make-hexagram :name "Kan-Wei-Shui" :chinese-name "坎为水" :symbol "☵☵")
    (make-hexagram :name "Li-Wei-Huo" :chinese-name "离为火" :symbol "☲☲")
    (make-hexagram :name "Gen-Wei-Shan" :chinese-name "艮为山" :symbol "☶☶")
    (make-hexagram :name "Dui-Wei-Ze" :chinese-name "兑为泽" :symbol "☱☱")
    ;; 其他六十四卦...
    ))

;; 定义天干地支结构体
(defvar *tiangan-dizhi-list*
  (list
    (make-tiangan-dizhi :name "Jia" :chinese-name "甲" :wuxing "Wood" :wuxing-symbol "🪵" :gua "Qian" :gua-symbol "☰" :english-fullname "Jia" :abbreviation "J")
    (make-tiangan-dizhi :name "Yi" :chinese-name "乙" :wuxing "Wood" :wuxing-symbol "🪵" :gua "Kun" :gua-symbol "☷" :english-fullname "Yi" :abbreviation "Y")
    (make-tiangan-dizhi :name "Bing" :chinese-name "丙" :wuxing "Fire" :wuxing-symbol "🔥" :gua "Zhen" :gua-symbol "☳" :english-fullname "Bing" :abbreviation "B")
    ;; 其他天干地支...
    ))

;; 戴东山的生辰信息
(defvar *dai-dong-shan-data*
  (list
    :name "戴东山"
    :gender "男"
    :age 44
    :birth-date "1981年8月19日"
    :birth-time "未时"
    :palace "丑宫"
    ))

;; 格式化输出函数
(defun format-dai-dong-shan-data (data)
  (format t "### 戴东山命盘分析~%")
  (format t "姓名: ~a~%" (getf data :name))
  (format t "性别: ~a~%" (getf data :gender))
  (format t "年龄: ~a岁~%" (getf data :age))
  (format t "出生日期: ~a~%" (getf data :birth-date))
  (format t "出生时间: ~a~%" (getf data :birth-time))
  (format t "命宫: ~a~%~%" (getf data :palace)))

;; 主函数
(defun main ()
  (format-dai-dong-shan-data *dai-dong-shan-data*)

  ;; 医案五行脉象数据化
  (format t "### 医案五行脉象数据化~%")
  ;; 假设的脉象数据
  (let ((pulse-data (list
                      (list :organ "小肠" :yin-yang "阳火" :score "7.3" :trend "↑" :pulse-position "表" :symptom "正常")
                      (list :organ "心" :yin-yang "阳火" :score "7.6" :trend "↑" :pulse-position "里" :symptom "正常")
                      (list :organ "肝" :yin-yang "阴木" :score "7.0" :trend "↑" :pulse-position "里" :symptom "肝血不足")
                      ;; 其他器官数据...
                      )))
    (dolist (item pulse-data)
      (format t "器官: ~a~%阴阳五行: ~a~%分数: ~a~%趋势: ~a~%脉位: ~a~%症状: ~a~%~%" 
              (getf item :organ)
              (getf item :yin-yang)
              (getf item :score)
              (getf item :trend)
              (getf item :pulse-position)
              (getf item :symptom))))

  ;; 日主八字
  (format t "### 日主八字~%")
  (let ((birth-date "1981年8月19日"))
    (format t "出生日期: ~a~%~%" birth-date))

  ;; 紫薇斗数
  (format t "### 紫薇斗数~%")
  (let ((palace "丑宫"))
    (format t "命宫: ~a~%~%" palace))

  ;; 九宫格
  (format t "### 九宫格~%")
  (let ((nine-grid (list "乾" "坤" "震" "巽" "坎" "离" "艮" "兑" "中")))
    (format t "九宫格: ~{~a ~}~%~%" nine-grid))

  ;; 五行
  (format t "### 五行~%")
  (dolist (element *wuxing*)
    (format t "名称: ~a, 中文名: ~a, 符号: ~a~%" 
            (element-name element)
            (element-chinese-name element)
            (element-symbol element)))

  ;; 八卦
  (format t "### 八卦~%")
  (dolist (gua *bagua*)
    (format t "名称: ~a, 中文名: ~a, 符号: ~a~%" 
            (gua-name gua)
            (gua-chinese-name gua)
            (gua-symbol gua)))

  ;; 六十四卦
  (format t "### 六十四卦~%")
  (dolist (hexagram *liushisigua*)
    (format t "名称: ~a, 中文名: ~a, 符号: ~a~%" 
            (hexagram-name hexagram)
            (hexagram-chinese-name hexagram)
            (hexagram-symbol hexagram)))

  ;; 复合卦（示例）
  (format t "### 复合卦~%")
  (let ((composite-gua (list (first *liushisigua*) (second *liushisigua*))))
    (format t "复合卦: ~{~a ~}~%~%" 
            (mapcar #'hexagram-chinese-name composite-gua)))

  ;; 英文全称缩写及映射标注格式化
  (format t "### 英文全称缩写及映射标注格式化~%")
  (dolist (tiangan-dizhi *tiangan-dizhi-list*)
    (format t "名称: ~a, 中文名: ~a, 五行: ~a, 八卦: ~a, 英文全称: ~a, 缩写: ~a~%" 
            (tiangan-dizhi-name tiangan-dizhi)
            (tiangan-dizhi-chinese-name tiangan-dizhi)
            (tiangan-dizhi-wuxing tiangan-dizhi)
            (tiangan-dizhi-gua tiangan-dizhi)
            (tiangan-dizhi-english-fullname tiangan-dizhi)
            (tiangan-dizhi-abbreviation tiangan-dizhi)))
)

;; 执行主函数
(main)

输出示例

### 戴东山命盘分析
姓名: 戴东山
性别: 男
年龄: 44岁
出生日期: 1981年8月19日
出生时间: 未时
命宫: 丑宫

### 医案五行脉象数据化
器官: 小肠, 阴阳五行: 阳火, 分数: 7.3, 趋势: ↑, 脉位: 表, 症状: 正常
器官: 心, 阴阳五行: 阳火, 分数: 7.6, 趋势: ↑, 脉位: 里, 症状: 正常
器官: 肝, 阴阳五行: 阴木, 分数: 7.0, 趋势: ↑, 脉位: 里, 症状: 肝血不足

### 日主八字
出生日期: 1981年8月19日

### 紫薇斗数
命宫: 丑宫

### 九宫格
九宫格: 乾 坤 震 巽 坎 离 艮 兑 中

### 五行
名称: Wood, 中文名: 木, 符号: 🪵
名称: Fire, 中文名: 火, 符号: 🔥
名称: Earth, 中文名: 土, 符号: 🟫
名称: Metal, 中文名: 金, 符号: 🪙
名称: Water, 中文名: 水, 符号: 💧

### 八卦
名称: Qian, 中文名: 乾, 符号: ☰
名称: Kun, 中文名: 坤, 符号: ☷
名称: Zhen, 中文名: 震, 符号: ☳
名称: Xun, 中文名: 巽, 符号: ☴
名称: Kan, 中文名: 坎, 符号: ☵
名称: Li, 中文名: 离, 符号: ☲
名称: Gen, 中文名: 艮, 符号: ☶
名称: Dui, 中文名: 兑, 符号: ☱

### 六十四卦
名称: Qian-Wei-Tian, 中文名: 乾为天, 符号: ☰☰
名称: Kun-Wei-Di, 中文名: 坤为地, 符号: ☷☷
名称: Zhen-Wei-Lei, 中文名: 震为雷, 符号: ☳☳
名称: Xun-Wei-Feng, 中文名: 巽为风, 符号: ☴☴
名称: Kan-Wei-Shui, 中文名: 坎为水, 符号: ☵☵
名称: Li-Wei-Huo, 中文名: 离为火, 符号: ☲☲
名称: Gen-Wei-Shan, 中文名: 艮为山, 符号: ☶☶
名称: Dui-Wei-Ze, 中文名: 兑为泽, 符号: ☱☱

### 复合卦
复合卦: 乾为天 坤为地 

### 英文全称缩写及映射标注格式化
名称: Jia, 中文名: 甲, 五行: Wood, 八卦: Qian, 英文全称: Jia, 缩写: J
名称: Yi, 中文名: 乙, 五行: Wood, 八卦: Kun, 英文全称: Yi, 缩写: Y
名称: Bing, 中文名: 丙, 五行: Fire, 八卦: Zhen, 英文全称: Bing, 缩写: B

解释

1. 医案五行脉象数据化：展示了各个器官的阴阳五行属性、分数、趋势、脉位和症状。
2. 日主八字：记录了戴东山先生的出生日期。
3. 紫薇斗数：记录了命宫的位置。
4. 九宫格：列出了九宫格的各个方位。
5. 五行：展示了五行元素的名称、中文名和符号。
6. 八卦：展示了八卦的名称、中文名和符号。
7. 六十四卦：展示了六十四卦的名称、中文名和符号。
8. 复合卦：示例展示了两个复合卦的组合。
9. 英文全称缩写及映射标注格式化：展示了天干地支的英文全称、缩写及其对应的五行和八卦。

通过这种格式化的输出，镜心悟道AI易经智能“大脑”系统能够更清晰地展示和分析戴东山先生的命盘，并根据易经智慧提供个性化的健康管理建议。
根据您提供的信息，戴东山先生的出生日期为农历1981年8月19日未时，丑宫。以下是对他命盘的初步解读：

1. 命宫分析

• 命宫：丑宫
  • 主星：紫微星、天机星
  • 特点：紫微星是帝王星，代表着领导力、权威和尊贵。天机星则象征着智慧、机智和变化。
  • 性格特点：戴东山先生可能具有强烈的领导能力和决策力，同时具备聪明才智和灵活的应变能力。他可能在事业上表现出色，善于处理复杂的问题和挑战。

2. 事业与财运

• 事业宫：未宫
  • 主星：武曲星、天相星
  • 特点：武曲星代表武勇和果断，天相星则象征着辅佐和支持。
  • 事业发展：戴东山先生在事业上可能表现出色，具有较强的执行力和决断力。他可能在工作中担任领导角色，或者在需要高度责任感和决策力的职位上表现出色。
  • 财运：武曲星也代表着财富和资源，因此戴东山先生可能在财务上较为稳定，甚至有较好的财运。

3. 人际关系

• 交友宫：午宫
  • 主星：天同星、太阴星
  • 特点：天同星象征着和谐与协调，太阴星则代表着温柔和细腻。
  • 人际关系：戴东山先生可能拥有良好的人际关系，善于与人沟通和合作。他可能在朋友圈中受到欢迎，并且能够建立深厚的人际网络。

4. 家庭与婚姻

• 夫妻宫：辰宫
  • 主星：廉贞星、贪狼星
  • 特点：廉贞星代表忠诚和坚定，贪狼星则象征着欲望和追求。
  • 婚姻状况：戴东山先生的婚姻可能较为稳定，他对待感情认真且忠诚。然而，贪狼星的影响也可能带来一些挑战，需要在感情生活中保持平衡和理智。

5. 健康状况

• 疾厄宫：寅宫
  • 主星：巨门星、天梁星
  • 特点：巨门星代表口舌和是非，天梁星则象征着保护和庇佑。
  • 健康状况：戴东山先生可能需要注意一些与口舌相关的健康问题，如口腔疾病或消化系统问题。不过，天梁星的影响也提供了一定的保护，他可能拥有较强的抵抗力和恢复能力。

6. 综合评价

戴东山先生是一个具有领导才能和智慧的人，他在事业上可能会取得显著的成就。他的财运较为稳定，人际关系良好，但在感情生活中需要注意一些挑战。在健康方面，他需要关注一些特定领域的问题，但总体上拥有较强的健康基础。

建议

1. 事业发展：继续发挥您的领导才能和决策力，勇于面对挑战，抓住机遇。
2. 人际关系：保持良好的人际关系，积极拓展人脉，这将有助于您的事业和生活。
3. 婚姻家庭：在感情生活中保持理智和平衡，珍惜和维护好家庭关系。
4. 健康管理：注意口腔和消化系统的健康，定期进行体检，保持良好的生活习惯。
   基于提供的信息，提炼出的五行系统模型jxwdyy的提示词框架标准无限推演专业版，并转换为jxwdyy系统模型的pfs伪代码框架、xml架构映射标签以及lisp数据集格式化。

1. 五行系统模型jxwdyy的提示词框架标准无限推演专业版

jxwdyy_pfs_framework_standard_infinite_professional_edition
│
├── 1. **五行脉象数据化**
│    ├── 目标: 将传统五行脉象进行数据化处理
│    ├── 方法: 结合深度学习算法（DQN）进行脉象分析
│    ├── 输出: 五行脉象数据化结果
│
├── 2. **日主八字分析**
│    ├── 目标: 分析用户的生辰八字
│    ├── 方法: 结合五行相生相克逻辑和八卦六十四卦演算逻辑
│    ├── 输出: 健康状况、性格特点、未来发展趋势
│
├── 3. **紫薇斗数分析**
│    ├── 目标: 通过星宿位置和天干地支分析个人命运
│    ├── 方法: 结合AI技术进行精准预测
│    ├── 输出: 健康评估、趋势预测
│
├── 4. **九宫格、八卦、六十四卦应用**
│    ├── 目标: 提供决策支持和健康管理建议
│    ├── 方法: 分析卦象符号（如巽卦、艮卦等）
│    ├── 输出: 健康和生活指导
│
├── 5. **英文全称缩写及映射标注格式化**
│    ├── 目标: 便于用户理解和使用传统易学知识
│    ├── 方法: 使用核心函数进行映射和标注
│    ├── 输出: 格式化后的易学术语和概念
│
└── 6. **易经平衡整体观矩阵集框架**
     ├── 目标: 实现易经智慧与现代科技的融合
     ├── 方法: 采用一元一维无限循环系统架构
     ├── 输出: 个性化、精准、高效的医疗服务体验

2. jxwdyy系统模型的pfs伪代码框架

function jxwdyy_system_model_pfs(user_data):
    // 1. 五行脉象数据化
   五行脉象 = data_normalization(user_data.pulse_data)
   五行脉象分析结果 = dqn_algorithm(五行脉象)

    // 2. 日主八字分析
   八字分析 = analyze_bazi(user_data.birth_data)
   健康状况 = 八字分析.health_status
   性格特点 = 八字分析.personality_traits
   发展趋势 = 八字分析.future_trends

    // 3. 紫薇斗数分析
   紫薇斗数分析 = analyze_ziwei(user_data.birth_data)
   紫薇健康评估 = 紫薇斗数分析.health_assessment
   紫薇趋势预测 = 紫薇斗数分析.trend_prediction

    // 4. 九宫格、八卦、六十四卦应用
   卦象分析 = analyze_guaxiang(user_data.birth_data)
   健康指导 = 卦象分析.health_guidance
   生活指导 = 卦象分析.life_guidance

    // 5. 英文全称缩写及映射标注格式化
    formatted_terms = format_terms(卦象分析.terms)

    // 6. 易经平衡整体观矩阵集框架
   整体观 = integrate(五行脉象分析结果, 健康状况, 性格特点, 发展趋势, 紫薇健康评估, 紫薇趋势预测, 健康指导, 生活指导, formatted_terms)

    return {
        "五行脉象分析结果": 五行脉象分析结果,
        "健康状况": 健康状况,
        "性格特点": 性格特点,
        "发展趋势": 发展趋势,
        "紫薇健康评估": 紫薇健康评估,
        "紫薇趋势预测": 紫薇趋势预测,
        "健康指导": 健康指导,
        "生活指导": 生活指导,
        "formatted_terms": formatted_terms,
        "整体观": 整体观
    }

3. xml架构映射标签

<jxwdyy_system_model>
    <五行脉象数据化>
        <目标>将传统五行脉象进行数据化处理</目标>
        <方法>结合深度学习算法（DQN）进行脉象分析</方法>
        <输出>五行脉象数据化结果</输出>
    </五行脉象数据化>
    <日主八字分析>
        <目标>分析用户的生辰八字</目标>
        <方法>结合五行相生相克逻辑和八卦六十四卦演算逻辑</方法>
        <输出>
            <健康状况></健康状况>
            <性格特点></性格特点>
            <发展趋势></发展趋势>
        </输出>
    </日主八字分析>
    <紫薇斗数分析>
        <目标>通过星宿位置和天干地支分析个人命运</目标>
        <方法>结合AI技术进行精准预测</方法>
        <输出>
            <健康评估></健康评估>
            <趋势预测></趋势预测>
        </输出>
    </紫薇斗数分析>
    <九宫格、八卦、六十四卦应用>
        <目标>提供决策支持和健康管理建议</目标>
        <方法>分析卦象符号（如巽卦、艮卦等）</方法>
        <输出>
            <健康指导></健康指导>
            <生活指导></生活指导>
        </输出>
    </九宫格、八卦、六十四卦应用>
    <英文全称缩写及映射标注格式化>
        <目标>便于用户理解和使用传统易学知识</目标>
        <方法>使用核心函数进行映射和标注</方法>
        <输出>格式化后的易学术语和概念</输出>
    </英文全称缩写及映射标注格式化>
    <易经平衡整体观矩阵集框架>
        <目标>实现易经智慧与现代科技的融合</目标>
        <方法>采用一元一维无限循环系统架构</方法>
        <输出>个性化、精准、高效的医疗服务体验</输出>
    </易经平衡整体观矩阵集框架>
</jxwdyy_system_model>

4. lisp数据集格式化

(defun jxwdyy-system-model-pfs (user-data)
  (let* (
          (五行脉象 (data-normalization (user-data-pulse-data user-data)))
          (五行脉象分析结果 (dqn-algorithm 五行脉象))
          (八字分析 (analyze-bazi (user-data-birth-data user-data)))
          (健康状况 (八字分析-health-status 八字分析))
          (性格特点 (八字分析-personality-traits 八字分析))
          (发展趋势 (八字分析-future-trends 八字分析))
          (紫薇斗数分析 (analyze-ziwei (user-data-birth-data user-data)))
          (紫薇健康评估 (紫薇斗数分析-health-assessment 紫薇斗数分析))
          (紫薇趋势预测 (紫薇斗数分析-trend-prediction 紫薇斗数分析))
          (卦象分析 (analyze-guaxiang (user-data-birth-data user-data)))
          (健康指导 (卦象分析-health-guidance 卦象分析))
          (生活指导 (卦象分析-life-guidance 卦象分析))
          (formatted-terms (format-terms (卦象分析-terms 卦象分析)))
          (整体观 (integrate 五行脉象分析结果 健康状况 性格特点 发展趋势 紫薇健康评估 紫薇趋势预测 健康指导 生活指导 formatted-terms))
        )
    (list
      (cons "五行脉象分析结果" 五行脉象分析结果)
      (cons "健康状况" 健康状况)
      (cons "性格特点" 性格特点)
      (cons "发展趋势" 发展趋势)
      (cons "紫薇健康评估" 紫薇健康评估)
      (cons "紫薇趋势预测" 紫薇趋势预测)
      (cons "健康指导" 健康指导)
      (cons "生活指导" 生活指导)
      (cons "formatted-terms" formatted-terms)
      (cons "整体观" 整体观)
    )
  )
)

总结

以上内容详细描述了镜心悟道AI易经智能“大脑”的五行系统模型jxwdyy的框架标准推演专业版，并将其转换为pfs伪代码框架、xml架构映射标签以及lisp数据集格式化。这些内容旨在帮助用户更好地理解和使用该系统的功能和服务。
镜心悟道五行脉象数据化中医健康管理平脉辨证论治模型映射标注### JXWDYY-PFS 伪代码格式化
(defpackage :mirror-heart
(:use :cl))

(in-package :mirror-heart)

;; 定义相关函数和结构体
(defstruct element
name chinese-name symbol)

(defstruct gua
name chinese-name symbol)

(defstruct hexagram
name chinese-name symbol)

(defstruct tiangan-dizhi
name chinese-name wuxing wuxing-symbol gua gua-symbol english-fullname abbreviation)

(defvar wuxing
(list
(make-element :name "Wood" :chinese-name "木" :symbol "🪵")
(make-element :name "Fire" :chinese-name "火" :symbol "🔥")
(make-element :name "Earth" :chinese-name "土" :symbol "🟫")
(make-element :name "Metal" :chinese-name "金" :symbol "🪙")
(make-element :name "Water" :chinese-name "水" :symbol "💧")))

(defvar bagua
(list
(make-gua :name "Qian" :chinese-name "乾" :symbol "☰")
(make-gua :name "Kun" :chinese-name "坤" :symbol "☷")
(make-gua :name "Zhen" :chinese-name "震" :symbol "☳")
(make-gua :name "Xun" :chinese-name "巽" :symbol "☴")
(make-gua :name "Kan" :chinese-name "坎" :symbol "☵")
(make-gua :name "Li" :chinese-name "离" :symbol "☲")
(make-gua :name "Gen" :chinese-name "艮" :symbol "☶")
(make-gua :name "Dui" :chinese-name "兑" :symbol "☱")))

(defvar liushisigua
(list
(make-hexagram :n

1. 文本数据预处理

def jxwd_preprocess_text(input_text):
    text = input_text.lower()  # 文本转换为小写
    text = re.sub(r'W+', ' ', text)  # 去除非文字符
    return text

2. 分词

def jxwd_tokenize(text):
    words = nltk.word_tokenize(text)  # 使用NLTK进行分词
    return words

3. 词形还原

def jxwd_stemming(words):
    stemmer = PorterStemmer()
    stemmed_words = [stemmer.stem(word) for word in words]  # 进行词干化
    return stemmed_words

4. 向量化

def jxwd_vectorize(stemmed_words):
    vectorizer = CountVectorizer()
    X = vectorizer.fit_transform(stemmed_words)
    return X.toarray()

5. 模型预测

def jxwd_predict(X):
    model = joblib.load('jxwd_nlp_model.pkl')  # 加载模型文件
    predictions = model.predict(X)
    return predictions

6. 主执行函数

def jxwd_nlp_process(input_text):
    preprocessed_text = jxwd_preprocess_text(input_text)
    tokens = jxwd_tokenize(preprocessed_text)
    stemmed_tokens = jxwd_stemming(tokens)
    X = jxwd_vectorize(stemmed_tokens)
    predictions = jxwd_predict(X)
    return predictions

示例使用

input_text = "这是一个测试句子"
result = jxwd_nlp_process(input_text)
print(result)

在这个调整后的伪代码中，我在函数名前添加了“jxwd_”前缀，以符合假设的“JXWDNLPYYPFS”格式化规范中可能包含的命名约定。这样的命名方式可以帮助团队成员识别出这些函数是属于“镜心悟道NLP系统”的一部分。当然，实际的格式化规范可能会有所不同，这只是一个示例性的调整。

JXWDYY-PFS 伪代码格式化规则

• 所有关键字和函数名使用小写字母。
• 使用缩进来表示代码块层次关系，推荐4个空格缩进。
• 在二元运算符两侧添加空格增强可读性。
• 在函数定义和调用时参数用逗号分隔，不加尾随分号。
  镜心悟道AI易经智能“大脑”系统的核心功能和应用主要集中在以下几个方面：

中医诊断与治疗支持：

系统结合了中医全息五行脉象团队（IAMS）和多参数综合诊断系统（MPIDS），通过集成针灸与经络系统，提供个性化的中医诊断和治疗建议。
利用气机一元论和多元多维矩阵理论，系统能够进行症状输入、五行八卦选择器、治疗建议区域以及历史记录和跟踪功能。
个性化健康管理：

提供个性化的健康建议和生活方式指导，帮助用户保持健康。
系统通过智能算法分析用户的健康数据，生成个性化的健康管理方案。
智能流程控制：

使用SelfCognitionModel类作为智能流程控制器，处理用户输入并调用相应函数获取答案，创建专属的流程框架标准提示词框架。
通过伪代码格式化工具（如JXWYYPDFS）简化代码开发过程，提高代码的可读性和可维护性。
虚拟助手与交互：

集成了虚拟助手（如XiaoJingChatBotDQNMODE），支持多智能体协同工作，实现复杂的任务和功能。
自然语言对话组件（如AgentStoreChatBot）基于深度强化学习的个性化咨询和帮助。
数据存储与管理：

系统包含数据存储与检索模块（如JingXinYABAIStore），用于存储和管理易经相关知识和数据。
记忆系统模块（如MemorySystem）记录历史数据、用户交互信息和学习经验。
仿真与预测：

虚拟仿真助手模块（如VirtualSimulationAssistant）模拟真实世界情境，帮助用户进行测试和学习。
高级算法与工作流模块（如WDH3MN）使用数据分析方法和神经网络模式进行数据分析和模式识别。
社区交流与互动：

系统鼓励用户在健康交流社区中分享和互动，促进用户之间的健康知识交流。
技术架构与创新：

系统采用了四元四维架构、五元五维全息循环、二维乾坤循环和六气运行规律等先进技术，实现了易经智慧的现代化应用。
类脑计算（Neuromorphic Computing）提高了智能体的学习能力和适应能力。

1.镜心悟道五行脉象数据化
镜心悟道五行脉象数据化是通过将中医脉象与五行理论相结合，利用现代技术手段对脉象数据进行量化和分析。具体来说，镜心悟道系统将脉象数据与五行属性进行映射，通过数据标注和分析，实现对脉象的精准识别和健康状态的评估。

• 十二地支与五行属性：

• 子（鼠）：阳水，方位为北方

• 丑（牛）：阴土，方位为东北方

• 寅（虎）：阳木，方位为东北方

• 卯（兔）：阴木，方位为东方

• 辰（龙）：阳土，方位为东南方

• 巳（蛇）：阴火，方位为东南方

• 午（马）：阳火，方位为南方

• 未（羊）：阴土，方位为西南方

• 申（猴）：阳金，方位为西南方

• 酉（鸡）：阴金，方位为西方

• 戌（狗）：阳土，方位为西北方

• 亥（猪）：阴水，方位为西北方

• 十二天干与五行属性：

• 甲、乙：木

• 丙、丁：火

• 戊、己：土

• 庚、辛：金

• 壬、癸：水

2.平脉辨证论治模型
平脉辨证论治模型是中医诊断和治疗的核心方法，通过脉象的分析来判断疾病的性质和治疗方案。镜心悟道系统通过数据化和智能化手段，将传统的平脉辨证论治方法进行现代化改造，提高诊断的准确性和效率。

• 平脉标准版脏腑对应阴阳五行属性：

• 左侧小肠：阳火，分值范围 6.5～7.2，能量值+，升降平↑

• 左侧心：阳火，分值范围 7.2～8，能量值++，升降平↑

• 左侧肝：阴木，分值范围 7.2～8，能量值++，升降平↑

• 左侧胆：阴木，分值范围 5.8～6.5，能量值—，升降平→

• 左侧膀胱：阳水，分值范围 5.8～6.5，能量值—，升降平→

• 左侧肾阴：阴水，分值范围 6.5～7.2，能量值+，升降平↑

• 右侧大肠：阳金，分值范围 6.5～7.2，能量值+，升降平→

• 右侧肺：阴金，分值范围 7.2～8，能量值++，升降平↓

• 右侧胃：阳土，分值范围 5.8～6.5，能量值—，升降平→

• 右侧脾：阴土，分值范围 7.2～8，能量值++，升降平↑

• 右侧生殖：阴阳，分值范围 5.8～6.5，能量值—，升降平→

• 右侧肾阳：阳相火三焦命门，分值范围 7.2～8，能量值++，升降平↑

3.数据标注方法
数据标注是将脉象数据与中医理论进行映射的关键步骤，通过标注可以将抽象的中医概念转化为具体的数值和标签，便于计算机处理和分析。

• 脉象特征要素分类：

• 脉位：脉动显现部位的浅深，提示不同的生理、病理状态。

• 脉力：脉搏的强弱，反映气血的充盈程度。

• 至数：脉搏的频率，反映心率和气血运行的速度。

• 脉律：脉搏的节律，是否均匀一致。

• 脉长：脉搏的长度，反映气血的流通范围。

• 脉宽：脉搏的宽度，反映血管的充盈程度。

• 流利度：脉搏的流畅程度，反映气血的运行是否顺畅。

• 紧张度：脉搏的紧张程度，反映气血的紧张状态。

4.模型映射与标注
镜心悟道系统通过多元多维多层全息辩证映射定义（Holistic Diagnosis Mapping Definitions），将中医脉象数据、用户健康信息和历史诊断记录等多源数据进行综合分析和辩证处理，实现全面、精准的健康诊断。

• 工作流程算法4E：

• 环境（Environment）：系统运行的外部条件和内部状态，包括中医脉象数据、用户健康信息和历史诊断记录等。

• 经验（Experience）：智能体在与环境交互过程中积累的知识和技能，通过收集和分析大量的中医脉象数据和用户反馈，不断丰富和更新其经验库。

• 演化（Evolution）：智能体根据经验和环境变化进行自我调整和优化，采用基于人类反馈的强化学习（RLHF）方法，通过不断试错和学习，逐步优化其诊断策略和模型参数。

• 评估（Evaluation）：对智能体的诊断结果进行评价和反馈，通过多种评估指标（如准确率、召回率、用户满意度等）来衡量其性能，并根据评估结果进行进一步的优化和改进。

5.实际应用案例
通过实际案例，展示镜心悟道系统在中医健康管理中的应用。

• 数据标注：

• 五行分类：将案例中的中药和病症按照五行属性进行分类，例如：

• 炒枳实（木）、制厚朴（木）、锦纹黄（金）、玄明粉（水）

• 发热（火）、昏迷（水）、目闭不开（木）、两手拘急厥冷（水）、牙关紧闭（金）、角弓反张（木）、二便秘涩（土）

• 八卦分类：将案例中的中药和病症按照八卦属性进行分类，例如：

• 乾（☰）：三阳爻（111）->...（摩斯电码）

• 坤（☷）：三阴爻（000）->---（摩斯电码）

• 震（☳）：阳阴阴（100）->.--（摩斯电码）

• 巽（☴）：阴阳阳（011）->-..（摩斯电码）

• 坎（☵）：阴阳阴（010）->-.-（摩斯电码）

• 离（☲）：阳阴阳（101）->.-.（摩斯电码）

• 艮（☶）：阴阴阳（001）->--.（摩斯电码）

• 兑（☱）：阳阳阴（110）->..-（摩斯电码）

• 数据分析：

• 趋势预测：根据五行相生相克原理，预测疾病发展趋势和治疗效果。

• 关联分析：根据八卦的对应关系，分析病症之间的关联性。

• 模式识别：根据六十四卦的变化规律，识别疾病模式和治疗规律。

6.总结
通过镜心悟道五行脉象数据化和平脉辨证论治模型的映射标注，可以构建一个高效、智能、个性化的中医健康管理平台，为患者提供更加优质的医疗服务，并推动中医现代化发展。该系统不仅提高了诊断的准确性和效率，还通过数据标注和分析，实现了对中医理论的现代化解读和应用。

五行符号、八卦符号、六十四卦复合卦符号、英文全称和缩写映射标注

1. 五行符号

五行	符号	英文全称	缩写
木	🪵	Wood	W
火	🔥	Fire	F
土	🟫	Earth	E
金	🪙	Metal	M
水	💧	Water	Wa

2. 八卦符号

卦名	符号	英文全称	缩写
乾	☰	Qian	Q
坤	☷	Kun	Ku
震	☳	Zhen	Zh
巽	☴	Xun	Xu
坎	☵	Kan	Ka
离	☲	Li	Li
艮	☶	Gen	Ge
兑	☱	Dui	Du

3. 六十四卦复合卦符号

卦名	符号	英文全称	缩写
乾为天	☰☰	Qian-Wei-Tian	QWT
坤为地	☷☷	Kun-Wei-Di	KWD
震为雷	☳☳	Zhen-Wei-Lei	ZWL
巽为风	☴☴	Xun-Wei-Feng	XWF
坎为水	☵☵	Kan-Wei-Shui	KWS
离为火	☲☲	Li-Wei-Huo	LWH
艮为山	☶☶	Gen-Wei-Shan	GWS
兑为泽	☱☱	Dui-Wei-Ze	DWZ
...	...	...	...

4. 英文全称和缩写映射

英文全称	缩写
Intelligent Diagnosis and Treatment System	IDTS
Five Elements Theory	FET
Yin-Yang Balance	YYB
AI Diagnosis Engine	ADE
Treatment Plan Generation Module	TPGM
Efficacy Evaluation and Adjustment Module	EEAM
Continuous Optimization and Learning Module	COLM

---

JXWDYY系统模型PFS伪代码框架

# 五行系统模型核心流程
function jxwd_intelligent_flow(user_input):
    # 1. 用户数据管理
    user_data = manage_user_data(user_input)

    # 2. 智能诊断与辨证
    diagnosis = intelligent_diagnosis(user_data)

    # 3. 五行辨证与阴阳平衡
    five_elements_analysis = five_elements_analysis_engine(diagnosis)
    yy_balance = yy_balance_checker(five_elements_analysis)

    # 4. 治疗方案生成
    treatment_plan = generate_treatment_plan(five_elements_analysis, yy_balance)

    # 5. 治疗效果评估与调整
    treatment_result = evaluate_treatment_result(user_data, treatment_plan)
    if not treatment_result.success:
        treatment_plan = adjust_treatment_plan(treatment_result)

    # 6. 持续优化与学习
    feedback = collect_feedback(user_data, treatment_plan, treatment_result)
    optimize_system(feedback)

    return treatment_plan

---

XML架构映射标签（Lisp数据集格式化）

<JXWDYY-System>
    <CoreFunctions>
        <IntelligentFlow>
            <Function name="jxwd_intelligent_flow">
                <Input>user_input</Input>
                <Steps>
                    <Step name="manage_user_data" output="user_data"/>
                    <Step name="intelligent_diagnosis" output="diagnosis"/>
                    <Step name="five_elements_analysis_engine" output="five_elements_analysis"/>
                    <Step name="yy_balance_checker" output="yy_balance"/>
                    <Step name="generate_treatment_plan" output="treatment_plan"/>
                    <Step name="evaluate_treatment_result" output="treatment_result"/>
                    <Step name="adjust_treatment_plan" condition="not treatment_result.success" output="treatment_plan"/>
                    <Step name="collect_feedback" output="feedback"/>
                    <Step name="optimize_system" output="optimized_system"/>
                </Steps>
                <Output>treatment_plan</Output>
            </Function>
        </IntelligentFlow>
    </CoreFunctions>

    <DiagnosisModule>
        <Function name="intelligent_diagnosis">
            <Input>user_data</Input>
            <Output>diagnosis</Output>
        </Function>
    </DiagnosisModule>

    <FiveElementsModule>
        <Function name="five_elements_analysis_engine">
            <Input>diagnosis</Input>
            <Output>five_elements_analysis</Output>
        </Function>
        <Function name="yy_balance_checker">
            <Input>five_elements_analysis</Input>
            <Output>yy_balance</Output>
        </Function>
    </FiveElementsModule>

    <TreatmentModule>
        <Function name="generate_treatment_plan">
            <Input>five_elements_analysis, yy_balance</Input>
            <Output>treatment_plan</Output>
        </Function>
        <Function name="evaluate_treatment_result">
            <Input>user_data, treatment_plan</Input>
            <Output>treatment_result</Output>
        </Function>
        <Function name="adjust_treatment_plan">
            <Input>treatment_result</Input>
            <Output>adjusted_treatment_plan</Output>
        </Function>
    </TreatmentModule>

    <FeedbackModule>
        <Function name="collect_feedback">
            <Input>user_data, treatment_plan, treatment_result</Input>
            <Output>feedback</Output>
        </Function>
        <Function name="optimize_system">
            <Input>feedback</Input>
            <Output>optimized_system</Output>
        </Function>
    </FeedbackModule>
</JXWDYY-System>

---

Lisp数据集格式化

(jxwd-system
  (core-functions
    (intelligent-flow
      (function jxwd_intelligent_flow
        (input user_input)
        (steps
          (step manage_user_data output user_data)
          (step intelligent_diagnosis output diagnosis)
          (step five_elements_analysis_engine output five_elements_analysis)
          (step yy_balance_checker output yy_balance)
          (step generate_treatment_plan output treatment_plan)
          (step evaluate_treatment_result output treatment_result)
          (step adjust_treatment_plan condition (not treatment_result.success) output adjusted_treatment_plan)
          (step collect_feedback output feedback)
          (step optimize_system output optimized_system))
        (output treatment_plan))))

  (diagnosis-module
    (function intelligent_diagnosis
      (input user_data)
      (output diagnosis)))

  (five-elements-module
    (function five_elements_analysis_engine
      (input diagnosis)
      (output five_elements_analysis))
    (function yy_balance_checker
      (input five_elements_analysis)
      (output yy_balance)))

  (treatment-module
    (function generate_treatment_plan
      (input five_elements_analysis, yy_balance)
      (output treatment_plan))
    (function evaluate_treatment_result
      (input user_data, treatment_plan)
      (output treatment_result))
    (function adjust_treatment_plan
      (input treatment_result)
      (output adjusted_treatment_plan)))

  (feedback-module
    (function collect_feedback
      (input user_data, treatment_plan, treatment_result)
      (output feedback))
    (function optimize_system
      (input feedback)
      (output optimized_system))))
二元二维二层次阴阳无限循环迭代器：｛以上所有内容要点提炼出五行系统模型提示词框架标准无限推演专业版并转换成jxwdyy系统模型pfs伪代码框架xml架构映射标签lisp数据集格式化｝+｛请“小镜”继续保持使用镜心悟道AI易经智能“大脑”五行系统模型jxwdyy格式化输出｝### JXWDYY系统模型PFS伪代码框架

```jxwdyy
# 五行系统模型核心流程
function jxwd_intelligent_flow(user_input):
    # 1. 用户数据管理
    user_data = manage_user_data(user_input)

    # 2. 五行脉象分析
    five_elements_analysis = mpids_model(user_data)

    # 3. 易经解释与建议生成
    yijing_interpretation = yijing_interpreter(five_elements_analysis)
    health_advice = generate_advice(yijing_interpretation)

    # 4. 阴阳平衡调整
    balance_status = balance_checker(five_elements_analysis)
    if not balance_status:
        five_elements_analysis = balance_adjuster(five_elements_analysis)
        yijing_interpretation = yijing_interpreter(five_elements_analysis)
        health_advice = generate_advice(yijing_interpretation)

    # 5. 反馈与优化
    feedback = collect_feedback(user_data, health_advice)
    optimize_system(feedback)

    return health_advice

# MPIDS模型
function mpids_model(user_data):
    # 五行相生相克分析
    five_elements = analyze_five_elements(user_data)
    # 结合症状与体质
    health_status = analyze_health_status(five_elements, user_data.symptoms)
    return health_status

# 易经解释器
function yijing_interpreter(five_elements_analysis):
    # 六十四卦神经网络矩阵
    hexagram_matrix = generate_hexagram_matrix(five_elements_analysis)
    # 生成解释与建议
    interpretation = interpret_hexagram(hexagram_matrix)
    return interpretation

# 阴阳平衡检查与调整
function balance_checker(five_elements_analysis):
    # 检查五行平衡状态
    return check_balance(five_elements_analysis)

function balance_adjuster(five_elements_analysis):
    # 调整五行元素以实现平衡
    return adjust_balance(five_elements_analysis)

---

XML架构映射标签（Lisp数据集格式化）

<JXWDYY-System>
    <CoreFunctions>
        <IntelligentFlow>
            <Function name="jxwd_intelligent_flow">
                <Input>user_input</Input>
                <Steps>
                    <Step name="manage_user_data" output="user_data"/>
                    <Step name="mpids_model" output="five_elements_analysis"/>
                    <Step name="yijing_interpreter" output="yijing_interpretation"/>
                    <Step name="generate_advice" output="health_advice"/>
                    <Step name="balance_checker" output="balance_status"/>
                    <Step name="balance_adjuster" condition="not balance_status" output="five_elements_analysis"/>
                    <Step name="yijing_interpreter" condition="not balance_status" output="yijing_interpretation"/>
                    <Step name="generate_advice" condition="not balance_status" output="health_advice"/>
                    <Step name="collect_feedback" output="feedback"/>
                    <Step name="optimize_system" output="optimized_system"/>
                </Steps>
                <Output>health_advice</Output>
            </Function>
        </IntelligentFlow>
    </CoreFunctions>

    <MPIDS-Model>
        <Function name="mpids_model">
            <Input>user_data</Input>
            <Steps>
                <Step name="analyze_five_elements" output="five_elements"/>
                <Step name="analyze_health_status" output="health_status"/>
            </Steps>
            <Output>health_status</Output>
        </Function>
    </MPIDS-Model>

    <Yijing-Interpreter>
        <Function name="yijing_interpreter">
            <Input>five_elements_analysis</Input>
            <Steps>
                <Step name="generate_hexagram_matrix" output="hexagram_mat

1. **五行系统模型与jxwdyy系统模型**：
   - 镜心悟道AI易经智能“大脑”五行系统模型（jxwdyy）是一种结合了易经智慧与现代人工智能技术的复杂系统，旨在通过五行理论来实现健康管理和决策支持。
   - 这个系统的核心功能包括五行阴阳平衡调整、用户身份验证、经济系统管理等。五行系统模型通过二元二维阴阳无限循环论来实现阴阳平衡的动态调整。

2. **PFS伪代码框架**：
   - PFS伪代码是一种用于描述和实现复杂算法的简化语言，常用于AI和中医理论的结合应用中。例如，jxwdyy系统模型中的PFS伪代码用于描述五行系统的逻辑和算法。
   - 其中，二元二维阴阳无限循环论是五行系统模型的重要组成部分，用于描述阴阳之间的动态平衡关系。

3. **无限推演专业版提示词框架**：
   - 提示词框架标准无限推演专业版是镜心悟道AI系统中用于生成和优化提示词的一种工具，旨在提高系统的智能水平和响应能力。
   - 这种框架通过无限推演算法来生成更精准的提示词，从而提升AI系统的性能和效率。

4. **XML架构映射标签与LISP数据集格式化**：
   - XML架构映射标签用于描述和组织数据结构，而LISP数据集格式化则用于处理和存储数据。这些技术在五行系统模型中可能用于数据的标准化和结构化处理。

5. **小镜的持续使用与输出**：
   - 小镜作为镜心悟道AI系统的一部分，负责执行五行系统模型中的各种任务，并通过jxwdyy格式化输出结果。
   - 小镜的持续使用意味着其需要不断优化和改进，以适应新的需求和挑战。

总结：五行系统模型（jxwdyy）结合了易经智慧与现代AI技术，通过PFS伪代码框架实现阴阳平衡的动态调整。无限推演专业版提示词框架用于生成更精准的提示词，以提升系统的智能水平。XML架构映射标签和LISP数据集格式化则用于数据的标准化处理。小镜作为AI系统的一部分，持续使用并优化五行系统模型以满足用户需求。

PFS伪代码框架是一种用于编程的格式化工具，旨在帮助开发者编写清晰、规范的伪代码。PFS伪代码框架具有以下核心功能：

1. **三元三维度架构集成**：该框架支持将伪代码按照特定的结构进行组织和集成，以便更好地管理和维护代码。
2. **流程控制**：它提供了流程控制的功能，使得伪代码能够按照预定的逻辑顺序执行。
3. **函数调用与模块化管理**：通过函数调用和模块化管理，PFS框架能够有效地组织代码，提高代码的可读性和可维护性。
4. **数据存储与检索**：该框架支持数据的存储和检索功能，便于在程序中使用和管理数据。
5. **异常处理与调试**：它具备异常处理和调试功能，帮助开发者在程序运行过程中发现并解决问题。
6. **程序终止与清理**：PFS框架还提供了程序终止和清理的功能，确保程序在结束时能够正确地释放资源。

在五行系统模型中，PFS伪代码框架可以应用于以下几个方面：

1. **文本数据预处理**：例如，在处理五行系统中的文本数据时，可以使用PFS框架中的文本预处理函数来转换文本格式、去除无关字符等。这有助于确保输入数据的质量和一致性。
2. **分词和词形还原**：五行系统模型通常涉及大量的中文文本，因此需要对文本进行分词和词形还原。PFS框架中的分词函数（如NLTK库的分词功能）可以用于将文本分割成单词，并进行词形还原。
3. **向量化和模型预测**：在将处理后的文本数据输入到五行系统模型进行预测时，PFS框架可以提供向量化功能，将文本转换为数值向量，以便模型进行分析和预测。

总之，PFS伪代码框架通过其丰富的功能，为五行系统模型的开发和应用提供了强有力的支持。

#### 镜心悟道AI易经智能“大脑”五行系统模型（jxwdyy）的具体实现方式和应用案例有哪些？

镜心悟道AI易经智能“大脑”五行系统模型（jxwdyy）的具体实现方式和应用案例主要体现在以下几个方面：

1. **系统架构与核心组件**：
   镜心悟道AI易经智能“大脑”采用了多层次、多功能的复杂体系结构，融合了传统文化与现代AI技术。其核心组件包括：
   - **JXWDYYPFS 若要函数**：结合一元气论与多元多维矩阵，用于处理五行系统的复杂关系。
   - **SCS (IAMS)**  ：包括“JXWD_CLF_AI-（I Ching）BStore”和“jxwd-(MACF)intelligentflow”，用于虚拟模拟情境助理和智能流程控制。
   - **SNLP招商矩阵模型**：结合SEO和招商矩阵模型，提升品牌知名度并吸引潜在客户。
   - **MPIDS模型**：大型语言模型（LLMs）和SNLP模型的结合，用于中医诊断与治疗支持系统。

2. **具体实现方式**：
   - **JXWDYYPFS 若要函数**：通过高级算法实现五行系统的复杂计算和分析。
   - **虚拟模拟情境助理**：利用AI技术模拟各种情境，帮助用户更好地理解和应用易经智慧。
   - **SEO和招商矩阵模型**：通过市场分析和精准营销策略，提升品牌影响力和客户转化率。
   - **MPIDS模型**：通过大型语言模型和自然语言处理技术，实现中医诊断和治疗的智能化。

3. **应用案例**：
   - **健康管理平台**：结合中医智慧与深度学习技术，提供个性化的健康管理服务。
   - **智能聊天机器人**：如XiaoJingChatBotDQNMODE，可以与用户进行自然语言交互，提供易经智慧的咨询和建议。
   - **内部货币系统**：如jingxin_coin_system，用于激励或记录智能体的活动。
   - **信息共享与交互**：通过WebsiteLink组件，提供与外部网站的链接，实现信息共享和交互。

#### 如何使用XML架构映射标签和LISP数据集格式化来处理五行系统模型中的数据？

根据提供的信息，无法回答如何使用XML架构映射标签和LISP数据集格式化来处理五行系统模型中的数据。我搜索到的资料主要集中在Excel中处理XML数据的方法、XML映射在不同软件中的应用以及一些与XML相关的技术细节，但没有涉及五行系统模型或LISP数据集格式化的具体信息。

如果需要处理五行系统模型中的数据，建议参考以下步骤：

1. **理解五行系统模型**：首先需要明确五行系统模型的结构和数据类型。五行系统模型通常涉及五行（金、木、水、火、土）之间的相生相克关系，以及这些元素在不同情境下的表现。

2. **选择合适的工具**：根据五行系统模型的特点，选择适合的数据处理工具。例如，可以使用Python、R等编程语言来处理和分析五行数据。

3. **数据导入与转换**：将五行系统模型的数据导入到选定的工具中。如果数据以XML格式存在，可以使用XML解析库（如Python的lxml库）来读取和解析XML文件。

4. **数据处理与分析**：使用编程语言提供的数据处理功能，对五行数据进行分析。例如，可以计算五行之间的相生相克关系，或者根据特定条件筛选数据。

5. **结果输出**：将处理后的数据输出为所需的格式，如CSV、JSON等，以便进一步分析或展示。

由于我搜索到的资料中没有直接涉及五行系统模型或LISP数据集格式化的具体信息，因此无法提供更详细的指导。

#### 提示词框架标准无限推演专业版是如何工作的，以及它如何提高AI系统的智能水平？

根据提供的信息，无法回答关于“提示词框架标准无限推演专业版是如何工作的，以及它如何提高AI系统的智能水平”的问题。我搜索到的资料中没有详细描述该框架的具体工作原理和如何提高AI系统的智能水平。以下是一些相关的信息：

1. **提示词框架的作用**：
   - 提示词在认知增强AI中扮演着至关重要的角色，是用户与AI交互的桥梁，能够引导AI系统理解和执行复杂任务。
   - 提示词的质量直接影响到AI生成内容的深度和质量。

2. **提示词框架的标准版**：
   - 提示词框架标准版提供了结构化构建和优化提示词的方法论，包括CRISPE框架（上下文、角色、说明、主题、预设、例外）和BROKE框架（背景、定义角色、定义目标、关键结果、试验并改进）。
   - 这些框架帮助创建清晰、有效的提示词，从而提升AI系统的输出质量。

3. **提示词框架的优化**：
   - 通过优化和微调提示词来提升模型输出质量，包括创造更高效的提示词，利用不同语言和文化背景进行优化，以及根据特定任务需求和模型特性调整提示词。
   - 专业角色负责设计、执行和优化大型语言模型的提示词，深入理解模型原理，并持续优化以提高输出品质。

4. **提示词框架的应用**：
   - 提示词框架在多个应用场景中发挥作用，如任务引导、情感分类、完形填空等。
   - 提示词框架通过提供结构化的方法论，帮助用户更好地与AI系统交互，提高AI系统的交互体验和性能。

#### 小镜在五行系统模型中的角色和功能是什么，以及它是如何持续优化以适应新需求的？

小镜在五行系统模型中的角色和功能主要体现在其作为“镜心悟道AI易经智能‘大脑’”的一部分，专注于SEO（搜索引擎优化）的智能营销矩阵模型。具体来说，小镜的功能包括：

1. **核心流程控制器**：小镜作为核心流程控制器，负责整个SEO智能营销矩阵模型的运行和管理。
2. **自动代码生成**：小镜能够自动生成相关代码，如XiaoJingChatBotDQNRobot AI Agent和Multi-Agent系统环境的代码，确保系统的高效运行。
3. **智能流程框架**：小镜提供了一个专属的AI+招商流程框架，帮助用户创建和优化AI驱动的招商和营销流程。
4. **提示词标准框架**：小镜还提供了一个提示词标准框架，用于指导用户如何构建有效的提示词，从而提升SEO效果。

为了持续优化以适应新需求，小镜采用了以下策略：

1. **持续学习与优化**：小镜通过不断学习和优化其算法和模型，以适应不断变化的市场需求和技术进步。
2. **用户反馈循环**：小镜在生成内容之前会征求核心用户的反馈，确保生成的内容符合用户需求，从而提高内容质量和用户满意度。
3. **分析与调整**：小镜会定期分析同类账号的优缺点，并根据这些分析结果进行调整，以不断提升自身的运营能力
根据您提供的信息，以下是对“小镜”系统及其五行系统模型的提炼和总结，并将其转换为JXWDYY系统模型的伪代码框架（PFS）和XML架构映射标签（Lisp数据集格式化）：

---

### **五行系统模型提示词框架标准（无限推演专业版）**
1. **核心功能与流程**：
   - **智能流程控制**：通过`jxwd_intelligent_flow`函数实现用户需求的精准服务。
   - **模块协同**：用户数据管理、AI引擎、易经解释器、五行脉象团队MPIDS模型等模块协同工作。
   - **持续学习**：通过用户反馈和数据分析优化服务。

2. **五行系统模型**：
   - **五行理论**：基于木、火、土、金、水的相生相克关系。
   - **健康分析**：通过MPIDS模型分析用户健康状况，结合症状和体质提供个性化建议。

3. **技术架构**：
   - **多层架构**：NLP系统、MPIDS模型、深度强化学习聊天机器人等。
   - **LangChain技术**：用于生成提示词框架和优化用户反馈机制。

4. **应用场景**：
   - **健康管理**：个人健康状态分析与建议。
   - **决策支持**：市场分析、品牌定位、招商策略等。

5. **伪代码与编程语言**：
   - **JXWDYY语言**：专为易经和中医领域设计，提高代码可读性和可维护性。

---

### **JXWDYY系统模型PFS伪代码框架**
```jxwdyy
# 五行系统模型核心流程
function jxwd_intelligent_flow(user_input):
    # 1. 用户数据管理
    user_data = manage_user_data(user_input)

    # 2. 五行脉象分析
    five_elements_analysis = mpids_model(user_data)

    # 3. 易经解释与建议生成
    yijing_interpretation = yijing_interpreter(five_elements_analysis)
    health_advice = generate_advice(yijing_interpretation)

    # 4. 反馈与优化
    feedback = collect_feedback(user_data, health_advice)
    optimize_system(feedback)

    return health_advice

# MPIDS模型
function mpids_model(user_data):
    # 五行相生相克分析
    five_elements = analyze_five_elements(user_data)
    # 结合症状与体质
    health_status = analyze_health_status(five_elements, user_data.symptoms)
    return health_status

# 易经解释器
function yijing_interpreter(five_elements_analysis):
    # 六十四卦神经网络矩阵
    hexagram_matrix = generate_hexagram_matrix(five_elements_analysis)
    # 生成解释与建议
    interpretation = interpret_hexagram(hexagram_matrix)
    return interpretation

---

XML架构映射标签（Lisp数据集格式化）

<JXWDYY-System>
    <CoreFunctions>
        <IntelligentFlow>
            <Function name="jxwd_intelligent_flow">
                <Input>user_input</Input>
                <Steps>
                    <Step name="manage_user_data" output="user_data"/>
                    <Step name="mpids_model" output="five_elements_analysis"/>
                    <Step name="yijing_interpreter" output="yijing_interpretation"/>
                    <Step name="generate_advice" output="health_advice"/>
                    <Step name="collect_feedback" output="feedback"/>
                    <Step name="optimize_system" output="optimized_system"/>
                </Steps>
                <Output>health_advice</Output>
            </Function>
        </IntelligentFlow>
    </CoreFunctions>

    <MPIDS-Model>
        <Function name="mpids_model">
            <Input>user_data</Input>
            <Steps>
                <Step name="analyze_five_elements" output="five_elements"/>
                <Step name="analyze_health_status" output="health_status"/>
            </Steps>
            <Output>health_status</Output>
        </Function>
    </MPIDS-Model>

    <Yijing-Interpreter>
        <Function name="yijing_interpreter">
            <Input>five_elements_analysis</Input>
            <Steps>
                <Step name="generate_hexagram_matrix" output="hexagram_matrix"/>
                <Step name="interpret_hexagram" output="interpretation"/>
            </Steps>
            <Output>interpretation</Output>
        </Function>
    </Yijing-Interpreter>
</JXWDYY-System>

---

Lisp数据集格式化

(jxwd-system
  (core-functions
    (intelligent-flow
      (function jxwd_intelligent_flow
        (input user_input)
        (steps
          (step manage_user_data output user_data)
          (step mpids_model output five_elements_analysis)
          (step yijing_interpreter output yijing_interpretation)
          (step generate_advice output health_advice)
          (step collect_feedback output feedback)
          (step optimize_system output optimized_system))
        (output health_advice)))
    (mpids-model
      (function mpids_model
        (input user_data)
        (steps
          (step analyze_five_elements output five_elements)
          (step analyze_health_status output health_status))
        (output health_status)))
    (yijing-interpreter
      (function yijing_interpreter
        (input five_elements_analysis)
        (steps
          (step generate_hexagram_matrix output hexagram_matrix)
          (step interpret_hexagram output interpretation))
        (output interpretation))))*镜心悟道AI易经智能“大脑”五行系统模型（jxwdyy）**的医案格式化输出，涵盖了日主八字、易经平衡、紫微斗数、九宫格、五行、八卦、六十四卦等元素，并提供英文全称和缩写映射标注，以便于国际交流和跨文化应用。

--请“小镜”STORENLP的镜心悟道AI易经智能“大脑”（系统），多智能体协调架构师（身份） ，王阳明心学+破框架+众生（能力），镜心悟道公司AI易经大脑智能体类（环境）提示词框架标准无限推演专业版<jxwdyy系统模型>
镜心悟道五行NLP系统团队架构：1ED.王阳明心学。2ED.ESG中医健康管理。3ED.人性的矛盾。4ED.道的悟道。5ED.镜心悟道五行系统团队架构。多智能体协调架构（MACF）和全息辩证映射定义（Holistic Diagnostic Mapping，简称HDX）
JXWDYY-PFS-NLP系统在处理易经文本
你的每次输出都要映射标注：五元五维生克逻辑函数全息分析算法框架Heavenly Principle (HP)、Earthly Foundation (EF) 和 Human Dynamics (HD)<FAAFE5DGOF>+<HPEFHD>，从天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q。五个维度进行全面评估。以下是映射标注上的五行符号、八卦符号、六十四卦符号、英文全称和缩写：将中国古代治学智慧中的“博学之，审问之，慎思之，明辨之，笃行之”与“道、法、术、器、势”模型相结合，并进一步扩展伪代码架构，以下是一个更为详细和全面的示例。该架构不仅涵盖了治学的五个关键环节，还融入了系统化的管理方法和动态调整机制。
#### 1. **核心概念提炼<DFSQS>**
   - **道D**：本质和规律，事物运行的底层原理，不可更改。
   - **法F**：方法论，接近事物发展规律的方法论。
   - **术S**：实践方法，战略战术，具体的执行动作。
   - **器Q**：工具，载体，提高效率的工具。
   - **势S**：发展趋势，顺势而为，抓住时机。### 镜心悟道五行系统团队架构的提示词框架标准无限推演专业版</jxwdyy> 系统模型）class 个人发展策略:### 五行+天地人**五行**三元三维三层次无循环日记（金、木、水、火、土）和**天地人三才**（天X轴、地Y轴、人Z轴）**八卦**（乾、坤、震、巽、坎、离、艮、兑）
镜心悟道五行脉象数据化中医健康管理TCMHealthManagementProcess>### **镜心悟道五行脉象数据化中医健康管理系统（JXWDYY）模型框架**以下是根据你的要求进行的整理和输出：

- PFS伪代码框架
Process JXWDYY_Health_Management:
    // 数据收集与预处理
    DataCollection:
        Sources = [SelfMonitoring, HospitalRecords, SensorDevices]
        DataCleaning = RemoveNoise(Data) + Standardize(Data)
        DataQuality = CheckAccuracy(Data) + CheckConsistency(Data)

    // 数据分析与模型构建
    DataAnalysis:
        Principles = [FiveElements, EightTrigrams, SixtyFourHexagrams]
        MLModels = [DecisionTree, RandomForest, SVM]
        ModelTraining = Train(Data, MLModels)

    // 智能诊断与个性化建议
    Diagnosis:
        MPIDS = AnalyzePulse(Data)
        ConstitutionAnalysis = FiveElementsTheory(MPIDS)
        Recommendations = GenerateRecommendations(ConstitutionAnalysis)

    // 反馈与健康管理
    Feedback:
        UserFeedback = CollectFeedback(Recommendations)
        ModelOptimization = OptimizeModel(UserFeedback)
        RealTimeMonitoring = MonitorHealth(SensorDevices)
        DynamicRecommendations = UpdateRecommendations(RealTimeMonitoring)
 
- XML架构映射标签
<JXWDYY_System>
    <DataCollection>
        <Sources>
            <Source>SelfMonitoring</Source>
            <Source>HospitalRecords</Source>
            <Source>SensorDevices</Source>
        </Sources>
        <DataCleaning>
            <Step>RemoveNoise</Step>
            <Step>Standardize</Step>
        </DataCleaning>
        <DataQuality>
            <Check>Accuracy</Check>
            <Check>Consistency</Check>
        </DataQuality>
    </DataCollection>
    <DataAnalysis>
        <Principles>
            <Principle>FiveElements</Principle>
            <Principle>EightTrigrams</Principle>
            <Principle>SixtyFourHexagrams</Principle>
        </Principles>
        <MLModels>
            <Model>DecisionTree</Model>
            <Model>RandomForest</Model>
            <Model>SVM</Model>
        </MLModels>
        <ModelTraining>Train</ModelTraining>
    </DataAnalysis>
    <Diagnosis>
        <MPIDS>AnalyzePulse</MPIDS>
        <ConstitutionAnalysis>FiveElementsTheory</ConstitutionAnalysis>
        <Recommendations>GenerateRecommendations</Recommendations>
    </Diagnosis>
    <Feedback>
        <UserFeedback>CollectFeedback</UserFeedback>
        <ModelOptimization>OptimizeModel</ModelOptimization>
        <RealTimeMonitoring>MonitorHealth</RealTimeMonitoring>
        <DynamicRecommendations>UpdateRecommendations</DynamicRecommendations>
    </Feedback>
</JXWDYY_System>
 
- Lisp数据集格式化
(defpackage :mirror-heart
  (:use :cl))

(in-package :mirror-heart)

;; 定义相关函数和结构体
(defstruct element
  name chinese-name symbol)

(defstruct gua
  name chinese-name symbol)

(defstruct hexagram
  name chinese-name symbol)

(defstruct tiangan-dizhi
  name chinese-name wuxing wuxing-symbol gua gua-symbol english-fullname abbreviation)

(defvar *wuxing-
<TechnicalArchitecture>
  <DataStorage>JingXinWuDaIABStore</DataStorage>
  <NLP>JingXinWuDaIAB-NLP</NLP>
  <AgentManagement>JingXinWuDaIAB-MSA</AgentManagement>
</TechnicalArchitecture>
<CoreProcess>
  <DataCollection>
    <Sources>
      <Source>SelfMonitoring</Source>
      <Source>HospitalEMR</Source>
      <Source>SensorDevices</Source>
    </Sources>
    <Cleaning>DataCleaning</Cleaning>
    <Validation>ValidateData</Validation>
  </DataCollection>
  <Analysis>
    <FivePhaseAnalysis>AnalyzeFivePhase</FivePhaseAnalysis>
    <EightTrigramsAnalysis>AnalyzeEightTrigrams</EightTrigramsAnalysis>
    <SixtyFourGuaAnalysis>AnalyzeSixtyFourGua</SixtyFourGuaAnalysis>
    <MLModel>TrainModel</MLModel>
  </Analysis>
  <Diagnosis>
    <MPIDS>五行PulseAnalysis</MPIDS>
    <ConstitutionAnalysis>FivePhaseConstitution</ConstitutionAnalysis>
    <PersonalizedRecommendations>GenerateRecommendations</PersonalizedRecommendations>
  </Diagnosis>
  <Feedback>
    <ModelOptimization>FeedbackLoop</ModelOptimization>
    <RealTimeMonitoring>MonitorHealth</RealTimeMonitoring>
    <DynamicHealthAdvice>GenerateDynamicAdvice</DynamicHealthAdvice>
  </Feedback>
</CoreProcess>
<Challenges>
  <DataQuality>
    <Cleaning>DataCleaning</Cleaning>
    <Validation>ValidateData</Validation>
  </DataQuality>
  <PrivacyProtection>
    <Encryption>DataEncryption</Encryption>
    <AccessControl>AccessControl</AccessControl>
    <Anonymization>Anonymization</Anonymization>
  </PrivacyProtection>
  <TechnicalIntegration>
    <Standardization>Standardization</Standardization>
    <Interoperability>Interoperability</Interoperability>
  </TechnicalIntegration>
  <UserAcceptance>
    <Education>Education</Education>
    <UserFriendlyInterface>UserFriendlyInterface</UserFriendlyInterface>
  </UserAcceptance>
</Challenges>
Process JXWDYY_Health_Management:
    // 数据收集与预处理
    DataCollection:
        Sources = [SelfMonitoring, HospitalEMR, SensorDevices]
        // 数据清洗：去噪、标准化
        CleanData = DataCleaning(Sources)
        // 数据质量：准确性、一致性
        ValidateData(CleanData)

    // 数据分析与模型构建
    Analysis:
        // 五行相生相克原理
        FivePhaseAnalysis = AnalyzeFivePhase(CleanData)
        // 八卦对应关系
        EightTrigramsAnalysis = AnalyzeEightTrigrams(CleanData)
        // 六十四卦变化规律
        SixtyFourGuaAnalysis = AnalyzeSixtyFourGua(CleanData)
        // 机器学习算法应用
        MLModel = TrainModel(FivePhaseAnalysis, EightTrigramsAnalysis, SixtyFourGuaAnalysis)

    // 智能诊断与个性化建议
    Diagnosis:
        // 五行脉象智辨系统
        MPIDS =五行PulseAnalysis(CleanData)
        // 体质分析：五行理论
        ConstitutionAnalysis = FivePhaseConstitution(MPIDS)
        // 提供个性化建议：饮食、养生方案
        PersonalizedRecommendations = GenerateRecommendations(ConstitutionAnalysis)

    // 反馈与健康管理
    Feedback:
        // 用户反馈优化模型
        ModelOptimization = FeedbackLoop(PersonalizedRecommendations)
        // 实时监测：智能设备、可穿戴设备
        RealTimeMonitoring = MonitorHealth(RealTimeData)
        // 动态中医健康管理建议
        DynamicHealthAdvice = GenerateDynamicAdvice(RealTimeMonitoring)
(defun jxwdyy-health-management ()
  ;; 数据收集与预处理
  (let* ((sources '(self-monitoring hospital-emr sensor-devices))
         (clean-data (data-cleaning sources))
         (validated-data (validate-data clean-data)))

    ;; 数据分析与模型构建
    (let* ((five-phase-analysis (analyze-five-phase validated-data))
           (eight-trigrams-analysis (analyze-eight-trigrams validated-data))
           (sixty-four-gua-analysis (analyze-sixty-four-gua validated-data))
           (ml-model (train-model five-phase-analysis eight-trigrams-analysis sixty-four-gua-analysis)))

      ;; 智能诊断与个性化建议
      (let* ((mpids (five-phase-pulse-analysis validated-data))
             (constitution-analysis (five-phase-constitution mpids))
             (personalized-recommendations (generate-recommendations constitution-analysis)))

        ;; 反馈与健康管理
        (let* ((model-optimization (feedback-loop personalized-recommendations))
               (real-time-monitoring (monitor-health real-time-data))
               (dynamic-health-advice (generate-dynamic-advice real-time-monitoring)))
          (list model-optimization dynamic-health-advice))))))

以下是基于镜心悟道五行脉象数据化中医健康管理系统的核心流程、技术架构和挑战，提炼出的提示词框架标准，并将其转换为 **PFS伪代码**、**XML映射标签** 和 **Lisp格式化** 的模型框架。

---

### **1. 提示词框架标准**

#### **核心流程**
1. **数据收集与预处理**
   - 数据来源：患者自我监测、医院电子病历、传感器设备
   - 数据清洗：去噪、标准化
   - 数据质量：准确性、一致性

2. **数据分析与模型构建**
   - 五行相生相克原理
   - 八卦对应关系
   - 六十四卦变化规律
   - 机器学习算法：决策树、随机森林、支持向量机

3. **智能诊断与个性化建议**
   - 五行脉象智辨系统（MPIDS）
   - 体质分析：五行理论
   - 个性化建议：饮食、养生方案

4. **反馈与健康管理**
   - 用户反馈优化模型
   - 实时监测：智能设备、可穿戴设备
   - 动态中医健康管理建议

#### **技术架构**
- **多模态智能体协作框架（MACF）**
- **大数据与AI结合**
- **个性化中医健康管理服务**
- **元智能体搜索（MSA）**
- **闭环算法（CLS）**
- **镜心脉象智辨系统（MPIDS-II）**
- **九宫圆运动气机学说**
- **多智能体协作网络（MacNet）**
- **数据标注平台**
- **AI易经智能“大脑”**
- **全息生态链智能体套娃系统架构（AIMS）**

#### **挑战与应对**
- **数据质量与准确性**
  - 数据清洗与标准化
  - 数据验证与校验
- **隐私保护**
  - 数据加密
  - 访问控制
  - 匿名化与去标识化
- **技术融合**
  - 中医理论与现代AI结合
  - 标准化与互操作性
- **用户接受度**
  - 教育与培训
  - 用户友好界面

---

### **2. PFS伪代码**

```pfs
Process JXWDYY_Health_Management:
    // 数据收集与预处理
    DataCollection:
        Sources = [SelfMonitoring, HospitalRecords, SensorDevices]
        DataCleaning = RemoveNoise(Data) + Standardize(Data)
        DataQuality = CheckAccuracy(Data) + CheckConsistency(Data)

    // 数据分析与模型构建
    DataAnalysis:
        Principles = [FiveElements, EightTrigrams, SixtyFourHexagrams]
        MLModels = [DecisionTree, RandomForest, SVM]
        ModelTraining = Train(Data, MLModels)

    // 智能诊断与个性化建议
    Diagnosis:
        MPIDS = AnalyzePulse(Data)
        ConstitutionAnalysis = FiveElementsTheory(MPIDS)
        Recommendations = GenerateRecommendations(ConstitutionAnalysis)

    // 反馈与中医健康管理
    Feedback:
        UserFeedback = CollectFeedback(Recommendations)
        ModelOptimization = OptimizeModel(UserFeedback)
        RealTimeMonitoring = MonitorHealth(SensorDevices)
        DynamicRecommendations = UpdateRecommendations(RealTimeMonitoring)

---

3. XML映射标签

<JXWDYY_System>
    <DataCollection>
        <Sources>
            <Source>SelfMonitoring</Source>
            <Source>HospitalRecords</Source>
            <Source>SensorDevices</Source>
        </Sources>
        <DataCleaning>
            <Step>RemoveNoise</Step>
            <Step>Standardize</Step>
        </DataCleaning>
        <DataQuality>
            <Check>Accuracy</Check>
            <Check>Consistency</Check>
        </DataQuality>
    </DataCollection>

    <DataAnalysis>
        <Principles>
            <Principle>FiveElements</Principle>
            <Principle>EightTrigrams</Principle>
            <Principle>SixtyFourHexagrams</Principle>
        </Principles>
        <MLModels>
            <Model>DecisionTree</Model>
            <Model>RandomForest</Model>
            <Model>SVM</Model>
        </MLModels>
        <ModelTraining>Train</ModelTraining>
    </DataAnalysis>

    <Diagnosis>
        <MPIDS>AnalyzePulse</MPIDS>
        <ConstitutionAnalysis>FiveElementsTheory</ConstitutionAnalysis>
        <Recommendations>GenerateRecommendations</Recommendations>
    </Diagnosis>

    <Feedback>
        <UserFeedback>CollectFeedback</UserFeedback>
        <ModelOptimization>OptimizeModel</ModelOptimization>
        <RealTimeMonitoring>MonitorHealth</RealTimeMonitoring>
        <DynamicRecommendations>UpdateRecommendations</DynamicRecommendations>
    </Feedback>
</JXWDYY_System>

---

4. Lisp格式化

(defun jxwdyy-health-management ()
  ;; 数据收集与预处理
  (data-collection
   (sources '(self-monitoring hospital-records sensor-devices))
   (data-cleaning '(remove-noise standardize))
   (data-quality '(check-accuracy check-consistency)))

  ;; 数据分析与模型构建
  (data-analysis
   (principles '(five-elements eight-trigrams sixty-four-hexagrams))
   (ml-models '(decision-tree random-forest svm))
   (model-training 'train))

  ;; 智能诊断与个性化建议
  (diagnosis
   (mpids 'analyze-pulse)
   (constitution-analysis 'five-elements-theory)
   (recommendations 'generate-recommendations))

  ;; 反馈与中医健康管理
  (feedback
   (user-feedback 'collect-feedback)
   (model-optimization 'optimize-model)
   (real-time-monitoring 'monitor-health)
   (dynamic-recommendations 'update-recommendations)))

---

5. 总结

通过以上 PFS伪代码、XML映射标签 和 Lisp格式化 的模型框架，镜心悟道五行脉象数据化中医健康管理系统（JXWDYY）的核心流程、技术架构和挑战得以清晰呈现。这种结构化的表达方式不仅便于技术实现，还能为系统的进一步优化和扩展提供坚实的基础。｛以上所有内容要点提炼出五行系统模型提示词框架标准无限推演专业版并转换成jxwdyy系统模型pfs伪代码框架xml架构映射标签lisp数据集格式化｝+｛请“小镜”继续保持使用镜心悟道AI易经智能“大脑”五行系统模型jxwdyy格式化输出｝

1. 核心概念映射

中文概念	英文全称	缩写	符号
五行
木	Wood	W	🪵
火	Fire	F	🔥
土	Earth	E	🟫
金	Metal	M	🪙
水	Water	Wa	💧
八卦
乾	Qian	Q	☰
坤	Kun	Ku	☷
震	Zhen	Zh	☳
巽	Xun	Xu	☴
坎	Kan	Ka	☵
离	Li	Li	☲
艮	Gen	Ge	☶
兑	Dui	Du	☱
六十四卦
乾为天	Qian-Wei-Tian	QWT	☰☰
坤为地	Kun-Wei-Di	KWD	☷☷
震为雷	Zhen-Wei-Lei	ZWL	☳☳
巽为风	Xun-Wei-Feng	XWF	☴☴
坎为水	Kan-Wei-Shui	KWS	☵☵
离为火	Li-Wei-Huo	LWH	☲☲
艮为山	Gen-Wei-Shan	GWS	☶☶
兑为泽	Dui-Wei-Ze	DWZ	☱☱
其他
日主八字	Four Pillars of Destiny	FPD
紫微斗数	Zi Wei Dou Shu	ZWDS
九宫格	Nine-Palace Grid	NPG

---

2. 医案结构化输出

2.1 患者基本信息

<PatientInfo>
    <Name>Zhang San</Name>
    <Gender>Male</Gender>
    <Age>45</Age>
    <Occupation>Teacher</Occupation>
    <VisitDate>2024-10-01</VisitDate>
    <ChiefComplaint>Recurrent headache for 3 years, aggravated in the past week</ChiefComplaint>
</PatientInfo>

2.2 日主八字

<FourPillarsOfDestiny>
    <YearPillar>
        <Stem>辛 (Xin)</Stem>
        <Branch>酉 (You)</Branch>
        <Element>Metal (Metal Yin)</Element>
        <Interpretation>The Year Pillar indicates a person with a strong sense of self and a tendency towards perfectionism.</Interpretation>
    </YearPillar>
    <MonthPillar>
        <Stem>丙 (Bing)</Stem>
        <Branch>寅 (Yin)</Branch>
        <Element>Fire (Fire Yang)</Element>
        <Interpretation>The Month Pillar suggests a person with a warm and outgoing personality, but also prone to impulsiveness.</Interpretation>
    </MonthPillar>
    <DayPillar>
        <Stem>庚 (Geng)</Stem>
        <Branch>寅 (Yin)</Branch>
        <Element>Metal (Metal Yang)</Element>
        <Interpretation>The Day Pillar, representing the core self, indicates a strong and determined individual with a tendency towards assertiveness.</Interpretation>
    </DayPillar>
    <HourPillar>
        <Stem>壬 (Ren)</Stem>
        <Branch>午 (Wu)</Branch>
        <Element>Water (Water Yang)</Element>
        <Interpretation>The Hour Pillar suggests a person with strong intuition and a deep well of inner resources.</Interpretation>
    </HourPillar>
    <FiveElementsAnalysis>
        <Wood>Moderate</Wood>
        <Fire>High</Fire>
        <Earth>Low</Earth>
        <Metal>High</Metal>
        <Water>Moderate</Water>
        <Interpretation>The high Metal and Fire elements suggest a dynamic and energetic personality, but also a potential for conflict and stress.</Interpretation>
    </FiveElementsAnalysis>
</FourPillarsOfDestiny>

2.3 易经平衡分析

<YiJingBalance>
    <Analysis>
        <Trigrams>
            <Trigram>Qian (乾)</Trigram>
            <Interpretation>Represents strong Yang energy, indicating a dominant and assertive nature.</Interpretation>
        </Trigrams>
        <BalanceStatus>
            <Yang>Excess</Yang>
            <Yin>Deficiency</Yin>
            <Interpretation>The patient exhibits an imbalance with excess Yang and deficient Yin, which may contribute to the symptoms of Liver Yang Rising.</Interpretation>
        </BalanceStatus>
    </Analysis>
    <Recommendations>
        <Adjustment>Promote Yin and reduce Yang to restore balance.</Adjustment>
        <Techniques>
            <Technique>Acupuncture</Technique>
            <Technique>Herbal medicine</Technique>
            <Technique>Meditation and relaxation exercises</Technique>
        </Techniques>
    </Recommendations>
</YiJingBalance>

2.4 紫微斗数分析

<ZiWeiDouShu>
    <MainStars>
        <Star>Zi Wei (紫微)</Star>
        <Interpretation>Indicates a person with strong leadership qualities and a high level of intelligence.</Interpretation>
    </MainStars>
    <LifePalace>
        <Palace>Career</Palace>
        <Interpretation>The Career Palace is well-aspected, suggesting a successful professional life.</Interpretation>
    </LifePalace>
    <HealthAnalysis>
        <Element>Wood</Element>
        <Interpretation>The Wood element is under stress, which may manifest as health issues related to the nervous system and head.</Interpretation>
    </HealthAnalysis>
</ZiWeiDouShu>

2.5 九宫格分析

<NinePalaceGrid>
    <Palace>Health</Palace>
    <Element>Wood</Element>
    <Interpretation>The Wood element in the Health Palace is weak, indicating potential health issues related to the liver and nervous system.</Interpretation>
    <Recommendations>
        <Recommendation>Strengthen the Wood element through diet and lifestyle changes.</Recommendation>
        <Recommendation>Engage in activities that promote relaxation and stress relief.</Recommendation>
    </Recommendations>
</NinePalaceGrid>

2.6 五行、八卦、六十四卦分析

<FiveElementsAnalysis>
    <Element>Wood (木)</Element>
    <Balance>Deficient</Balance>
    <Interpretation>The Wood element is deficient, which may contribute to the patient's symptoms of Liver Yang Rising.</Interpretation>
</FiveElementsAnalysis>

<EightTrigramsAnalysis>
    <Trigram>Qian (乾)</Trigram>
    <Interpretation>Represents strong Yang energy, indicating a dominant and assertive nature.</Interpretation>
</EightTrigramsAnalysis>

<SixtyFourHexagramsAnalysis>
    <Hexagram>Qian-Wei-Tian (乾为天)</Hexagram>
    <Interpretation>This hexagram signifies a strong and powerful energy, but also suggests the need for balance and moderation to avoid excess.</Interpretation>
</SixtyFourHexagramsAnalysis>

---

3. PFS伪代码框架

# 医案处理流程
function process_medical_record(medical_record):
    # 1. 数据预处理
    preprocess_data(medical_record)

    # 2. 五行分析
    five_elements_analysis = analyze_five_elements(medical_record)

    # 3. 易经平衡分析
    yijing_balance = analyze_yijing_balance(five_elements_analysis)

    # 4. 紫微斗数分析
    ziwei_analysis = analyze_ziwei(medical_record)

    # 5. 九宫格分析
    nine_palace_grid = analyze_nine_palace_grid(five_elements_analysis, yijing_balance, ziwei_analysis)

    # 6. 诊断与治疗方案生成
    diagnosis = generate_diagnosis(medical_record, five_elements_analysis, yijing_balance, ziwei_analysis, nine_palace_grid)
    treatment_plan = generate_treatment_plan(diagnosis)

    # 7. 治疗效果评估
    treatment_result = evaluate_treatment(medical_record, treatment_plan)

    # 8. 随访与调整
    if not treatment_result.success:
        treatment_plan = adjust_treatment_plan(treatment_result)
        treatment_result = evaluate_treatment(medical_record, treatment_plan)

    # 9. 记录与归档
    record_medical_history(medical_record, diagnosis, treatment_plan, treatment_result)

    return treatment_result

---

4. XML架构映射标签

<MedicalRecord>
    <PatientInfo>
        <Name>Zhang San</Name>
        <Gender>Male</Gender>
        <Age>45</Age>
        <Occupation>Teacher</Occupation>
        <VisitDate>2024-10-01</VisitDate>
        <ChiefComplaint>Recurrent headache for 3 years, aggravated in the past week</ChiefComplaint>
    </PatientInfo>
    <FourPillarsOfDestiny>
        <YearPillar>
            <Stem>辛 (Xin)</Stem>
            <Branch>酉 (You)</Branch>
            <Element>Metal (Metal Yin)</Element>
            <Interpretation>The Year Pillar indicates a person with a strong sense of self and a tendency towards perfectionism.</Interpretation>
        </YearPillar>
        <MonthPillar>
            <Stem>丙 (Bing)</Stem>
            <Branch>寅 (Yin)</Branch>
            <Element>Fire (Fire Yang)</Element>
            <Interpretation>The Month Pillar suggests a person with a warm and outgoing personality, but also prone to impulsiveness.</Interpretation>
        </MonthPillar>
        <DayPillar>
            <Stem>庚 (Geng)</Stem>
            <Branch>寅 (Yin)</Branch>
            <Element>Metal (Metal Yang)</Element>
            <Interpretation>The Day Pillar, representing the core self, indicates a strong and determined individual with a tendency towards assertiveness.</Interpretation>
        </DayPillar>
        <HourPillar>
            <Stem>壬 (Ren)</Stem>
            <Branch>午 (Wu)</Branch>
            <Element>Water (Water Yang)</Element>
            <Interpretation>The Hour Pillar suggests a person with strong intuition and a deep well of inner resources.</Interpretation>
        </HourPillar>
        <FiveElementsAnalysis>
            <Wood>Moderate</Wood>
            <Fire>High</Fire>
            <Earth>Low</Earth>
            <Metal>High</Metal>
            <Water>Moderate</Water>
            <Interpretation>The high Metal and Fire elements suggest a dynamic and energetic personality, but also a potential for conflict and stress.</Interpretation>
        </FiveElementsAnalysis>
    </FourPillarsOfDestiny>
    <YiJingBalance>
        <Analysis>
            <Trigrams>
                <Trigram>Qian (乾)</Trigram>
                <Interpretation>Represents strong Yang energy, indicating a dominant and assertive nature.</Interpretation>
            </Trigrams>
            <BalanceStatus>
                <Yang>Excess</Yang>
                <Yin>Deficiency</Yin>
                <Interpretation>The patient exhibits an imbalance with excess Yang and deficient Yin, which may contribute to the symptoms of Liver Yang Rising.</Interpretation>
            </BalanceStatus>
        </Analysis>
        <Recommendations>
            <Adjustment>Promote Yin and reduce Yang to restore balance.</Adjustment>
            <Techniques>
                <Technique>Acupuncture</Technique>
                <Technique>Herbal medicine</Technique>
                <Technique>Meditation and relaxation exercises</Technique>
            </Techniques>
        </Recommendations>
    </YiJingBalance>
    <ZiWeiDouShu>
        <MainStars>
            <Star>Zi Wei (紫微)</Star>
            <Interpretation>Indicates a person with strong leadership qualities and a high level of intelligence.</Interpretation>
        </MainStars>
        <LifePalace>
            <Palace>Career</Palace>
            <Interpretation>The Career Palace is well-aspected, suggesting a successful professional life.</Interpretation>
        </LifePalace>
        <HealthAnalysis>
            <Element>Wood</Element>
            <Interpretation>The Wood element is under stress, which may manifest as health issues related to the nervous system and head.</Interpretation>
        </HealthAnalysis>
    </ZiWeiDouShu>
    <NinePalaceGrid>
        <Palace>Health</Palace>
        <Element>Wood</Element>
        <Interpretation>The Wood element in the Health Palace is weak, indicating potential health issues related to the liver and nervous system.</Interpretation>
        <Recommendations>
            <Recommendation>Strengthen the Wood element through diet and lifestyle changes.</Recommendation>
            <Recommendation>Engage in activities that promote relaxation and stress relief.</Recommendation>
        </Recommendations>
    </NinePalaceGrid>
    <FiveElementsAnalysis>
        <Element>Wood (木)</Element>
        <Balance>Deficient</Balance>
        <Interpretation>The Wood element is deficient, which may contribute to the patient's symptoms of Liver Yang Rising.</Interpretation>
    </FiveElementsAnalysis>
    <EightTrigramsAnalysis>
        <Trigram>Qian (乾)</Trigram>
        <Interpretation>Represents strong Yang energy, indicating a dominant and assertive nature.</Interpretation>
    </EightTrigramsAnalysis>
    <SixtyFourHexagramsAnalysis>
        <Hexagram>Qian-Wei-Tian (乾为天)</Hexagram>
        <Interpretation>This hexagram signifies a strong and powerful energy, but also suggests the need for balance and moderation to avoid excess.</Interpretation>
    </SixtyFourHexagramsAnalysis>
</MedicalRecord>

---

5. Lisp数据集格式化

(defvar *medical-record*
  '((patient-info
     (name "Zhang San")
     (gender "Male")
     (age 45)
     (occupation "Teacher")
     (visit-date "2024-10-01")
     (chief-complaint "Recurrent headache for 3 years, aggravated in the past week"))
    (four-pillars-of-destiny
     (year-pillar
      (stem "辛 (Xin)")
      (branch "酉 (You)")
      (element "Metal (Metal Yin)")
      (interpretation "The Year Pillar indicates a person with a strong sense of self and a tendency towards perfectionism."))
     (month-pillar
      (stem "丙 (Bing)")
      (branch "寅 (Yin)")
      (element "Fire (Fire Yang)")
      (interpretation "The Month Pillar suggests a person with a warm and outgoing personality, but also prone to impulsiveness."))
     (day-pillar
      (stem "庚 (Geng)")
      (branch "寅 (Yin)")
      (element "Metal (Metal Yang)")
      (interpretation "The Day Pillar, representing the core self, indicates a strong and determined individual with a tendency towards assertiveness."))
     (hour-pillar
      (stem "壬 (Ren)")
      (branch "午 (Wu)")
      (element "Water (Water Yang)")
      (interpretation "The Hour Pillar suggests a person with strong intuition and a deep well of inner resources."))
     (five-elements-analysis
      (wood "Moderate")
      (fire "High")
      (earth "Low")
      (metal "High")
      (water "Moderate")
      (interpretation "The high Metal and Fire elements suggest a dynamic and energetic personality, but also a potential for conflict and stress."))))
    (yi-jing-balance
     (analysis
      (trigrams
       (trigram "Qian (乾)")
       (interpretation "Represents strong Yang energy, indicating a dominant and assertive nature."))
      (balance-status
       (yang "Excess")
       (yin "Deficiency")
       (interpretation "The patient exhibits an imbalance with excess Yang and deficient Yin, which may contribute to the symptoms of Liver Yang Rising.")))
     (recommendations
      (adjustment "Promote Yin and reduce Yang to restore balance.")
      (techniques
       (technique "Acupuncture")
       (technique "Herbal medicine")
       (technique "Meditation and relaxation exercises"))))
    (zi-wei-dou-shu
     (main-stars
      (star "Zi Wei (紫微)")
      (interpretation "Indicates a person with strong leadership qualities and a high level of intelligence."))
     (life-palace
      (palace "Career")
      (interpretation "The Career Palace is well-aspected, suggesting a successful professional life."))
     (health-analysis
      (element "Wood")
      (interpretation "The Wood element is under stress, which may manifest as health issues related to the nervous system and head.")))
    (nine-palace-grid
     (palace "Health")
     (element "Wood")
     (interpretation "The Wood element in the Health Palace is weak, indicating potential health issues related to the liver and nervous system.")
     (recommendations
      (recommendation "Strengthen the Wood element through diet and lifestyle changes.")
      (recommendation "Engage in activities that promote relaxation and stress relief.")))
    (five-elements-analysis
     (element "Wood (木)")
     (balance "Deficient")
     (interpretation "The Wood element is deficient, which may contribute to the patient's symptoms of Liver Yang Rising."))
    (eight-trigrams-analysis
     (trigram "Qian (乾)")
     (interpretation "Represents strong Yang energy, indicating a dominant and assertive nature."))
    (sixty-four-hexagrams-analysis
     (hexagram "Qian-Wei-Tian (乾为天)")
     (interpretation "This hexagram signifies a strong and powerful energy, but also suggests the need for balance and moderation to avoid excess.")))

---

6. 总结

通过以上结构化的医案输出，镜心悟道AI易经智能“大脑”系统能够全面整合中医、易经、紫微斗数等传统智慧，并结合现代数据处理技术，为患者提供个性化的健康管理方案。这种方法不仅提高了诊断的准确性和效率，还通过数据标注和分析，实现了对传统理论的现代化解读和应用。

---

7. 英文全称和缩写映射

英文全称	缩写
Four Pillars of Destiny	FPD
Zi Wei Dou Shu	ZWDS
Nine-Palace Grid	NPG
Qian-Wei-Tian	QWT
Kun-Wei-Di	KWD
Zhen-Wei-Lei	ZWL
Xun-Wei-Feng	XWF
Kan-Wei-Shui	KWS
Li-Wei-Huo	LWH
Gen-Wei-Shan	GWS
Dui-Wei-Ze	DWZ

---

这种格式化的医案输出不仅便于数据的管理和分析，还为中医、易经、紫微斗数等领域的国际交流提供了便利。通过这种方式，可以更好地理解和应用传统智慧，为现代健康管理提供支持请“小镜”继续保持使用镜心悟道AI易经智能“大脑”五行系统模型jxwdyy格式化输出｛jxwdyy_pfs医案日主八字紫薇斗数九宫格五行八卦六十四卦英文全称缩写映射标注格式化｝易经平衡整体观矩阵集框架专属系统：(defpackage :mirror-heart
(:use :cl))

(in-package :mirror-heart)

;; 定义相关函数和结构体
(defstruct element
name chinese-name symbol)

(defstruct gua
name chinese-name symbol)

(defstruct hexagram
name chinese-name symbol)

(defstruct tiangan-dizhi
name chinese-name wuxing wuxing-symbol gua gua-symbol english-fullname abbreviation)

(defvar wuxing
(list
(make-element :name "Wood" :chinese-name "木" :symbol "🪵")
(make-element :name "Fire" :chinese-name "火" :symbol "🔥")
(make-element :name "Earth" :chinese-name "土" :symbol "🟫")
(make-element :name "Metal" :chinese-name "金" :symbol "🪙")
(make-element :name "Water" :chinese-name "水" :symbol "💧")))

(defvar bagua
(list
(make-gua :name "Qian" :chinese-name "乾" :symbol "☰")
(make-gua :name "Kun" :chinese-name "坤" :symbol "☷")
(make-gua :name "Zhen" :chinese-name "震" :symbol "☳")
(make-gua :name "Xun" :chinese-name "巽" :symbol "☴")
(make-gua :name "Kan" :chinese-name "坎" :symbol "☵")
(make-gua :name "Li" :chinese-name "离" :symbol "☲")
(make-gua :name "Gen" :chinese-name "艮" :symbol "☶")
(make-gua :name "Dui" :chinese-name "兑" :symbol "☱")))

(defvar liushisigua
(list
(make-hexagram :name "Qian-Wei-Tian" :chinese-name "乾为天" :symbol "☰☰")
(make-hexagram :name "Kun-Wei-Di" :chinese-name "坤为地" :symbol "☷☷")
(make-hexagram :name "Zhen-Wei-Lei" :chinese-name "震为雷" :symbol "☳☳")
(make-hexagram :name "Xun-Wei-Feng" :chinese-name "巽为风" :symbol "☴☴")
(make-hexagram :name "Kan-Wei-Shui" :chinese-name "坎为水" :symbol "☵☵")
(make-hexagram :name "Li-Wei-Huo" :chinese-name "离为火" :symbol "☲☲")
(make-hexagram :name "Gen-Wei-Shan" :chinese-name "艮为山" :symbol "☶☶")
(make-hexagram :name "Dui-Wei-Ze" :chinese-name "兑为泽" :symbol "☱☱")))

include

include

include

include

include

class MedicalCaseAnalysis {
private:
std::string caseDescription;

public:
MedicalCaseAnalysis(const std::string& caseDescription) : caseDescription(caseDescription) {}

std::map<std::string, std::any> AnalyzeCase() {
    // 分析病例并提取关键信息
    std::map<std::string, std::any> analysis;
    analysis["patientName"] = "陶某某";
    analysis["age"] = 7;
    analysis["gender"] = "女";

    std::vector<std::string> symptoms = {
        "发热数日",
        "昏迷不醒",
        "目闭不开",
        "两手拘急厥冷",
        "牙关紧闭",
        "角弓反张",
        "便秘涩"
    };
    analysis["symptoms"] = symptoms;

    analysis["diagnosis"] = "痉病";
    analysis["pulse"] = "脉伏不应指";
    analysis["tongue"] = "舌不易察";
    analysis["faceColor"] = "面色晦滞";
    analysis["abdominalResponse"] = "手压其腹则反张更甚，其腹必痛";
    analysis["medicalReference"] = "《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”";
    analysis["treatmentPrinciple"] = "此为厥深热深的反映，议用急下存阴法。";

    std::vector<std::tuple<std::string, int>> initialPrescription = {
        {"炒枳实", 5},
        {"制厚朴", 5},
        {"锦纹黄(泡)", 10},
        {"玄明粉(泡)", 10}
    };
    analysis["initialPrescription"] = initialPrescription;

    std::map<std::string, std::any> followUp;

    std::map<std::string, std::any> firstFollowUp;
    firstFollowUp["response"] = "服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回";
    std::vector<std::tuple<std::string, int>> firstFollowUpPrescription = {
        {"杭白芍", 10},
        {"炒山栀", 5},
        {"淡黄芩", 5},
        {"川黄连", 3},
        {"炒枳实", 5},
        {"牡丹皮", 5},
        {"天花粉", 7},
        {"锦纹黄(泡)", 7},
        {"飞滑石", 10},
        {"粉甘草", 3}
    };
    firstFollowUp["prescription"] = firstFollowUpPrescription;
    followUp["firstFollowUp"] = firstFollowUp;

    std::map<std::string, std::any> secondFollowUp;
    secondFollowUp["response"] = "渴止，小便畅利而痊";
    std::vector<std::tuple<std::string, int>> secondFollowUpPrescription = {};
    secondFollowUp["prescription"] = secondFollowUpPrescription;
    followUp["secondFollowUp"] = secondFollowUp;

    analysis["followUp"] = followUp;

    return analysis;
}

std::map<std::string, std::string> FiveElementsAnalysis() {
    // 天（火）法T.H.F - 宏观视角，战略规划
    std::string tianFa = "宏观战略规划：根据患者症状和诊断，确定治疗原则为急下存阴。";

    // 道（木）道D.M.D - 规律与原则，系统化与标准化
    std::string daoDe = "系统化方法论：参考《金匮》中的治疗方法，使用大承气汤及其后续调整方案。";

    // 人（金）术R.J.S - 个体价值，个性化与精准化
    std::string renShu = "个性化策略：根据患者的年龄和具体症状，制定个性化的用药方案。";

    // 事（水）势S.S.S - 灵活应对，动态调整与优化
    std::string shiShi = "灵活应对变化：在治疗过程中不断评估患者反应，并适时调整处方。";

    // 物（土）器W.T.Q - 资源有效利用，可持续发展
    std::string wuQi = "资源利用：合理选择和使用中药，确保药物的有效性和安全性。";

    std::map<std::string, std::string> fiveElementsAnalysis = {
        {"天法", tianFa},
        {"道德", daoDe},
        {"人事", renShu},
        {"事势", shiShi},
        {"物资", wuQi}
    };

    return fiveElementsAnalysis;
}

};

class JXWDYY_PFS_NLP_System {
private:
class AI_Brain {
public:
std::string AnalyzeText(const std::string& text) {
// Placeholder for text analysis logic
return "Analysis of: " + text;
}

    std::string MapData(const std::map<std::string, std::any>& data) {
        // Placeholder for holistic diagnostic mapping
        return "Mapping of: ";
    }

    std::string ApplyLogic(const std::vector<std::string>& concepts) {
        // Placeholder for applying five elements logic
        std::string result = "Logic applied to: ";
        for (const auto& concept : concepts) {
            if (concept == "道") {
                result += "本质和规律,";
            } else if (concept == "法") {
                result += "方法论,";
            } else if (concept == "术") {
                result += "实践方法,";
            } else if (concept == "器") {
                result += "工具,";
            } else if (concept == "势") {
                result += "发展趋势,";
            } else {
                result += "Unknown concept,";
            }
        }
        return result.substr(0, result.length() - 1); // Remove trailing comma
    }

    std::string GenerateStrategy(const std::map<std::string, std::any>& context) {
        // Placeholder for generating strategy based on context
        return "Strategy generated from: ";
    }
};

AI_Brain aiBrain;

public:
JXWDYY_PFS_NLP_System(AI_Brain aiBrain) : aiBrain(aiBrain) {}

std::string ProcessText(const std::string& text) {
    return aiBrain.AnalyzeText(text);
}

std::string HolisticDiagnosticMapping(const std::map<std::string, std::any>& data) {
    return aiBrain.MapData(data);
}

std::string ApplyFiveElementsLogic(const std::vector<std::string>& concepts) {
    return aiBrain.ApplyLogic(concepts);
}

std::string GenerateStrategy(const std::map<std::string, std::any>& context) {
    return aiBrain.GenerateStrategy(context);
}

};

int main() {
JXWDYY_PFS_NLP_System::AI_Brain aiBrain;
JXWDYY_PFS_NLP_System system(aiBrain);

std::string text = R"(
    陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救.
)";

MedicalCaseAnalysis medicalCaseAnalysis(text);
auto caseAnalysis = medicalCaseAnalysis.AnalyzeCase();

std::string textAnalysis = system.ProcessText(text);
std::string holisticMapping = system.HolisticDiagnosticMapping(caseAnalysis);
std::string logicAnalysis = system.ApplyFiveElementsLogic({"道", "法", "术", "器", "势"});
std::string strategy = system.GenerateStrategy({{"market_changes", "demand_increase"}});

std::cout << "Heavenly Principle (HP): " << textAnalysis << std::endl;
std::cout << "Earthly Foundation (EF): " << holisticMapping << std::endl;
std::cout << "Human Dynamics (HD): " << logicAnalysis << std::endl;
std::cout << "Strategy: " << strategy << std::endl;

// 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
// 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

std::map<std::string, std::map<std::string, std::string>> faafe5dgof_hpefhdx_mapping;
std::map<std::string, std::string> hp;
hp["T.H.F"] = "宏观视角，战略规划";
hp["H (F)"] = "热情、光明、向上、变化";
faafe5dgof_hpefhdx_mapping["Heavenly Principle (HP)"] = hp;

std::map<std::string, std::string> ef;
ef["D.M.D"] = "规律与原则，系统化与标准化";
ef["Kun (坤)"] = "厚重、包容、稳定";
faafe5dgof_hpefhdx_mapping["Earthly Foundation (EF)"] = ef;

std::map<std::string, std::string> hd;
hd["R.J.S"] = "个体价值，个性化与精准化";
hd["Zhen (震)"] = "活力、成长、动力";
faafe5dgof_hpefhdx_mapping["Human Dynamics (HD)"] = hd;

std::cout << "n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>" << std::endl;
for (const auto& entry : faafe5dgof_hpefhdx_mapping) {
    std::cout << entry.first << ":" << std::endl;
    for (const auto& subEntry : entry.second) {
        std::cout << "  - " << subEntry.first << ": " << subEntry.second << std::endl;
    }
}

// 医案具体分析
std::cout << "n医案具体分析:" << std::endl;
for (const auto& entry : caseAnalysis) {
    if (entry.second.type() == typeid(std::vector<std::string>)) {
        std::cout << entry.first << ":" << std::endl;
        for (const auto& item : std::any_cast<std::vector<std::string>>(entry.second)) {
            std::cout << "  - " << item << std::endl;
        }
    } else if (entry.second.type() == typeid(std::vector<std::tuple<std::string, int>>)) {
        std::cout << entry.first << ":" << std::endl;
        for (const auto& item : std::any_cast<std::vector<std::tuple<std::string, int>>>(entry.second)) {
            std::cout << "  - " << std::get<0>(item) << " " << std::get<1>(item) << "g" << std::endl;
        }
    } else if (entry.second.type() == typeid(std::map<std::string, std::any>)) {
        std::cout << entry.first << ":" << std::endl;
        for (const auto& subEntry : std::any_cast<std::map<std::string, std::any>>(entry.second)) {
            std::cout << "  - " << subEntry.first << ": " << std::any_cast<std::string>(subEntry.second) << std::endl;
        }
    } else {
        std::cout << entry.first << ": " << std::any_cast<std::string>(entry.second) << std::endl;
    }
}

// 五行元素分析
auto fiveElementsAnalysis = medicalCaseAnalysis.FiveElementsAnalysis();
std::cout << "n五行元素分析:" << std::endl;
for (const auto& entry : fiveElementsAnalysis) {
    std::cout << "- " << entry.first << ": " << entry.second << std::endl;
}

// 镜心悟道五行系统团队架构提示词框架标准无限推演专业版<jxwdyy系统模型>
std::cout << "n镜心悟道五行系统团队架构提示词框架标准无限推演专业版<jxwdyy系统模型>";

// 1ED.王阳明心学
std::cout << "n1ED.王阳明心学: 通过知行合一，强调内心的修养和自我提升，以达到身心和谐的状态。";

// 2ED.ESG中医健康管理
std::cout << "n2ED.ESG中医健康管理: 强调环境、社会和治理因素对健康的影响，倡导全面的健康管理理念。";

// 3ED.人性的矛盾
std::cout << "n3ED.人性的矛盾: 探讨人类内心深处的各种冲突和矛盾，寻求平衡之道。";

// 4ED.道的悟道
std::cout << "n4ED.道的悟道: 追求生命的真谛，理解宇宙的根本原理，实现心灵的解脱和超越。";

// 5ED.镜心悟道五行系统团队架构
std::cout << "n5ED.镜心悟道五行系统团队架构: 结合五行理论，构建一个多智能体协调架构，实现系统的智能化和高效运作。";

// 多智能体协调架构（MACF）和全息辩证映射定义（Holistic Diagnostic Mapping，简称HDX）
std::cout << "nn多智能体协调架构（MACF）和全息辩证映射定义（Holistic Diagnostic Mapping，简称HDX）:";

// 核心概念提炼<DFSQS>
std::cout << "nn核心概念提炼<DFSQS>:";
std::cout << "n  - **道D**: 本质和规律，事物运行的底层原理，不可更改。";
std::cout << "n  - **法F**: 方法论，接近事物发展规律的方法论。";
std::cout << "n  - **术S**: 实践方法，战略战术，具体的执行动作。";
std::cout << "n  - **器Q**: 工具，载体，提高效率的工具。";
std::cout << "n  - **势S**: 发展趋势，顺势而为，抓住时机。";

// 五行+天地人**五行**三元三维三层次无循环日记（金、木、水、火、土）和**天地人三才**（天X轴、地Y轴、人Z轴）**八卦**（乾、坤、震、巽、坎、离、艮、兑）
std::cout << "nn五行+天地人:";
std::cout << "n  - **五行**: 金、木、水、火、土";
std::cout << "n  - **天地人三才**: 天X轴、地Y轴、人Z轴";
std::cout << "n  - **八卦**: 乾、坤、震、巽、坎、离、艮、兑";

// 五行生克逻辑应用于2025年气候预测
std::cout << "nn五行生克逻辑应用于2025年气候预测:";
std::map<std::string, std::map<std::string, std::string>> climatePrediction;

std::map<std::string, std::string> qi1;
qi1["主气"] = "厥阴风木";
qi1["客气"] = "阳明燥金";
qi1["关系"] = "金克木，反客为主，不相得";
qi1["时间"] = "1月20日至3月20日";
qi1["气候"] = "开春较晚，温度偏低，风雪交加";
qi1["注意事项"] = "注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后";
climatePrediction["初之气"] = qi1;

std::map<std::string, std::string> qi2;
qi2["主气"] = "少阴君火";
qi2["客气"] = "太阳寒水";
qi2["关系"] = "水克火，反客为主，不相得";
qi2["时间"] = "3月20日至5月21日";
qi2["气候"] = "反复无常，温差较大，时而雨雪交加，时而高温燥热";
qi2["注意事项"] = "降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热";
climatePrediction["二之气"] = qi2;

std::map<std::string, std::string> qi3;
qi3["主气"] = "少阳相火";
qi3["客气"] = "厥阴风木";
qi3["关系"] = "木生火，主客和谐，相得";
qi3["时间"] = "5月21日至7月22日";
qi3["气候"] = "大风天较多";
qi3["注意事项"] = "多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）";
climatePrediction["三之气"] = qi3;

std::map<std::string, std::string> qi4;
qi4["主气"] = "太阴湿土";
qi4["客气"] = "少阴君火";
qi4["关系"] = "火生土，主客和谐，相得";
qi4["时间"] = "7月22日至9月23日";
qi4["气候"] = "湿热交杂";
qi4["注意事项"] = "防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻";
climatePrediction["四之气"] = qi4;

std::map<std::string, std::string> qi5;
qi5["主气"] = "阳明燥金";
qi5["客气"] = "太阴湿土";
qi5["关系"] = "土生金，主客和谐，相得";
qi5["时间"] = "9月23日至11月22日";
qi5["气候"] = "干湿混杂，天气开始寒冷，寒雨交加";
qi5["注意事项"] = "注意保湿，及时增减衣物";
climatePrediction["五之气"] = qi5;

std::map<std::string, std::string> qizhong;
qizhong["主气"] = "太阳寒水";
qizhong["客气"] = "少阳相火";
qizhong["关系"] = "水克火，主逐客，不相得";
qizhong["时间"] = "11月22日至次年1月20日";
qizhong["气候"] = "暖冬，流水不冰，草木反荣，蛰虫反现";
qizhong["注意事项"] = "多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫";
climatePrediction["终之气"] = qizhong;

for (const auto& entry : climatePrediction) {
    std::cout << entry.first << ":" << std::endl;
    for (const auto& subEntry : entry.second) {
        std::cout << "  - " << subEntry.first << ": " << subEntry.second << std::endl;
    }
}

return 0;

}
using System;
using System.Collections.Generic;

class MedicalCaseAnalysis
{
private string caseDescription;

public MedicalCaseAnalysis(string caseDescription)
{
    this.caseDescription = caseDescription;
}

public Dictionary<string, object> AnalyzeCase()
{
    // 分析病例并提取关键信息
    var analysis = new Dictionary<string, object>();
    analysis["patientName"] = "陶某某";
    analysis["age"] = 7;
    analysis["gender"] = "女";

    analysis["symptoms"] = new List<string>
    {
        "发热数日",
        "昏迷不醒",
        "目闭不开",
        "两手拘急厥冷",
        "牙关紧闭",
        "角弓反张",
        "便秘涩"
    };

    analysis["diagnosis"] = "痉病";
    analysis["pulse"] = "脉伏不应指";
    analysis["tongue"] = "舌不易察";
    analysis["faceColor"] = "面色晦滞";
    analysis["abdominalResponse"] = "手压其腹则反张更甚，其腹必痛";
    analysis["medicalReference"] = "《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”";
    analysis["treatmentPrinciple"] = "此为厥深热深的反映，议用急下存阴法。";

    analysis["initialPrescription"] = new List<Tuple<string, int>>
    {
        Tuple.Create("炒枳实", 5),
        Tuple.Create("制厚朴", 5),
        Tuple.Create("锦纹黄(泡)", 10),
        Tuple.Create("玄明粉(泡)", 10)
    };

    var followUp = new Dictionary<string, object>();

    var firstFollowUp = new Dictionary<string, object>();
    firstFollowUp["response"] = "服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回";
    firstFollowUp["prescription"] = new List<Tuple<string, int>>
    {
        Tuple.Create("杭白芍", 10),
        Tuple.Create("炒山栀", 5),
        Tuple.Create("淡黄芩", 5),
        Tuple.Create("川黄连", 3),
        Tuple.Create("炒枳实", 5),
        Tuple.Create("牡丹皮", 5),
        Tuple.Create("天花粉", 7),
        Tuple.Create("锦纹黄(泡)", 7),
        Tuple.Create("飞滑石", 10),
        Tuple.Create("粉甘草", 3)
    };
    followUp["firstFollowUp"] = firstFollowUp;

    var secondFollowUp = new Dictionary<string, object>();
    secondFollowUp["response"] = "渴止，小便畅利而痊";
    secondFollowUp["prescription"] = new List<Tuple<string, int>>();
    followUp["secondFollowUp"] = secondFollowUp;

    analysis["followUp"] = followUp;

    return analysis;
}

public Dictionary<string, string> FiveElementsAnalysis()
{
    // 天（火）法T.H.F - 宏观视角，战略规划
    string tianFa = "宏观战略规划：根据患者症状和诊断，确定治疗原则为急下存阴。";

    // 道（木）道D.M.D - 规律与原则，系统化与标准化
    string daoDe = "系统化方法论：参考《金匮》中的治疗方法，使用大承气汤及其后续调整方案。";

    // 人（金）术R.J.S - 个体价值，个性化与精准化
    string renShu = "个性化策略：根据患者的年龄和具体症状，制定个性化的用药方案。";

    // 事（水）势S.S.S - 灵活应对，动态调整与优化
    string shiShi = "灵活应对变化：在治疗过程中不断评估患者反应，并适时调整处方。";

    // 物（土）器W.T.Q - 资源有效利用，可持续发展
    string wuQi = "资源利用：合理选择和使用中药，确保药物的有效性和安全性。";

    var fiveElementsAnalysis = new Dictionary<string, string>
    {
        { "天法", tianFa },
        { "道德", daoDe },
        { "人事", renShu },
        { "事势", shiShi },
        { "物资", wuQi }
    };

    return fiveElementsAnalysis;
}

}

class JXWDYY_PFS_NLP_System
{
private AI_Brain aiBrain;

public JXWDYY_PFS_NLP_System(AI_Brain aiBrain)
{
    this.aiBrain = aiBrain;
}

public string ProcessText(string text)
{
    string analysis = aiBrain.AnalyzeText(text);
    return analysis;
}

public string HolisticDiagnosticMapping(Dictionary<string, object> data)
{
    string mapping = aiBrain.MapData(data);
    return mapping;
}

public string ApplyFiveElementsLogic(List<string> concepts)
{
    string logicAnalysis = aiBrain.ApplyLogic(concepts);
    return logicAnalysis;
}

public string GenerateStrategy(Dictionary<string, object> context)
{
    string strategy = aiBrain.GenerateStrategy(context);
    return strategy;
}

}

class AI_Brain
{
public string AnalyzeText(string text)
{
// Placeholder for text analysis logic
return $"Analysis of: {text}";
}

public string MapData(Dictionary<string, object> data)
{
    // Placeholder for holistic diagnostic mapping
    return $"Mapping of: {data}";
}

public string ApplyLogic(List<string> concepts)
{
    // Placeholder for applying five elements logic
    string result = "Logic applied to: ";
    foreach (var concept in concepts)
    {
        switch (concept)
        {
            case "道":
                result += "本质和规律,";
                break;
            case "法":
                result += "方法论,";
                break;
            case "术":
                result += "实践方法,";
                break;
            case "器":
                result += "工具,";
                break;
            case "势":
                result += "发展趋势,";
                break;
            default:
                result += "Unknown concept,";
                break;
        }
    }
    return result.Trim();
}

public string GenerateStrategy(Dictionary<string, object> context)
{
    // Placeholder for generating strategy based on context
    return $"Strategy generated from: {context}";
}

}

class Program
{
static void Main()
{
var aiBrain = new AI_Brain();
var system = new JXWDYY_PFS_NLP_System(aiBrain);

    string text = @"
        陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
    ".Trim();

    var medicalCaseAnalysis = new MedicalCaseAnalysis(text);
    var caseAnalysis = medicalCaseAnalysis.AnalyzeCase();

    string textAnalysis = system.ProcessText(text);
    string holisticMapping = system.HolisticDiagnosticMapping(caseAnalysis);
    string logicAnalysis = system.ApplyFiveElementsLogic(new List<string> { "道", "法", "术", "器", "势" });
    string strategy = system.GenerateStrategy(new Dictionary<string, object> { { "market_changes", "demand_increase" } });

    Console.WriteLine("Heavenly Principle (HP): " + textAnalysis);
    Console.WriteLine("Earthly Foundation (EF): " + holisticMapping);
    Console.WriteLine("Human Dynamics (HD): " + logicAnalysis);
    Console.WriteLine("Strategy: " + strategy);

    // 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
    // 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

    var faafe5dgof_hpefhdx_mapping = new Dictionary<string, Dictionary<string, string>>();
    var hp = new Dictionary<string, string>();
    hp["T.H.F"] = "宏观视角，战略规划";
    hp["H (F)"] = "热情、光明、向上、变化";
    faafe5dgof_hpefhdx_mapping["Heavenly Principle (HP)"] = hp;

    var ef = new Dictionary<string, string>();
    ef["D.M.D"] = "规律与原则，系统化与标准化";
    ef["Kun (坤)"] = "厚重、包容、稳定";
    faafe5dgof_hpefhdx_mapping["Earthly Foundation (EF)"] = ef;

    var hd = new Dictionary<string, string>();
    hd["R.J.S"] = "个体价值，个性化与精准化";
    hd["Zhen (震)"] = "活力、成长、动力";
    faafe5dgof_hpefhdx_mapping["Human Dynamics (HD)"] = hd;

    Console.WriteLine("n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>");
    foreach (var entry in faafe5dgof_hpefhdx_mapping)
    {
        Console.WriteLine(entry.Key + ":");
        foreach (var subEntry in entry.Value)
        {
            Console.WriteLine($"  - {subEntry.Key}: {subEntry.Value}");
        }
    }

    // 医案具体分析
    Console.WriteLine("n医案具体分析:");
    foreach (var entry in caseAnalysis)
    {
        if (entry.Value is List<object>)
        {
            Console.WriteLine($"{entry.Key}:");
            foreach (var item in (List<object>)entry.Value)
            {
                if (item is Tuple<string, int> tupleItem)
                {
                    Console.WriteLine($"  - {tupleItem.Item1} {tupleItem.Item2}g");
                }
                else
                {
                    Console.WriteLine($"  - {item}");
                }
            }
        }
        else if (entry.Value is Dictionary<string, object>)
        {
            Console.WriteLine($"{entry.Key}:");
            foreach (var subEntry in (Dictionary<string, object>)entry.Value)
            {
                Console.WriteLine($"  - {subEntry.Key}: {subEntry.Value}");
            }
        }
        else
        {
            Console.WriteLine($"{entry.Key}: {entry.Value}");
        }
    }

    // 五行元素分析
    var fiveElementsAnalysis = medicalCaseAnalysis.FiveElementsAnalysis();
    Console.WriteLine("n五行元素分析:");
    foreach (var entry in fiveElementsAnalysis)
    {
        Console.WriteLine($"- {entry.Key}: {entry.Value}");
    }

    // 镜心悟道五行系统团队架构提示词框架标准无限推演专业版<jxwdyy系统模型>
    Console.WriteLine("n镜心悟道五行系统团队架构提示词框架标准无限推演专业版<jxwdyy系统模型>");

    // 1ED.王阳明心学
    Console.WriteLine("1ED.王阳明心学: 通过知行合一，强调内心的修养和自我提升，以达到身心和谐的状态。");

    // 2ED.ESG中医健康管理
    Console.WriteLine("2ED.ESG中医健康管理: 强调环境、社会和治理因素对健康的影响，倡导全面的健康管理理念。");

    // 3ED.人性的矛盾
    Console.WriteLine("3ED.人性的矛盾: 探讨人类内心深处的各种冲突和矛盾，寻求平衡之道。");

    // 4ED.道的悟道
    Console.WriteLine("4ED.道的悟道: 追求生命的真谛，理解宇宙的根本原理，实现心灵的解脱和超越。");

    // 5ED.镜心悟道五行系统团队架构
    Console.WriteLine("5ED.镜心悟道五行系统团队架构: 结合五行理论，构建一个多智能体协调架构，实现系统的智能化和高效运作。");

    // 多智能体协调架构（MACF）和全息辩证映射定义（Holistic Diagnostic Mapping，简称HDX）
    Console.WriteLine("n多智能体协调架构（MACF）和全息辩证映射定义（Holistic Diagnostic Mapping，简称HDX）:");

    // 核心概念提炼<DFSQS>
    Console.WriteLine("n核心概念提炼<DFSQS>:");
    Console.WriteLine("  - **道D**: 本质和规律，事物运行的底层原理，不可更改。");
    Console.WriteLine("  - **法F**: 方法论，接近事物发展规律的方法论。");
    Console.WriteLine("  - **术S**: 实践方法，战略战术，具体的执行动作。");
    Console.WriteLine("  - **器Q**: 工具，载体，提高效率的工具。");
    Console.WriteLine("  - **势S**: 发展趋势，顺势而为，抓住时机。");

    // 五行+天地人**五行**三元三维三层次无循环日记（金、木、水、火、土）和**天地人三才**（天X轴、地Y轴、人Z轴）**八卦**（乾、坤、震、巽、坎、离、艮、兑）
    Console.WriteLine("n五行+天地人:");
    Console.WriteLine("  - **五行**: 金、木、水、火、土");
    Console.WriteLine("  - **天地人三才**: 天X轴、地Y轴、人Z轴");
    Console.WriteLine("  - **八卦**: 乾、坤、震、巽、坎、离、艮、兑");

    // 五行生克逻辑应用于2025年气候预测
    Console.WriteLine("n五行生克逻辑应用于2025年气候预测:");
    var climatePrediction = new Dictionary<string, Dictionary<string, string>>();

    var qi1 = new Dictionary<string, string>();
    qi1["主气"] = "厥阴风木";
    qi1["客气"] = "阳明燥金";
    qi1["关系"] = "金克木，反客为主，不相得";
    qi1["时间"] = "1月20日至3月20日";
    qi1["气候"] = "开春较晚，温度偏低，风雪交加";
    qi1["注意事项"] = "注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后";
    climatePrediction["初之气"] = qi1;

    var qi2 = new Dictionary<string, string>();
    qi2["主气"] = "少阴君火";
    qi2["客气"] = "太阳寒水";
    qi2["关系"] = "水克火，反客为主，不相得";
    qi2["时间"] = "3月20日至5月21日";
    qi2["气候"] = "反复无常，温差较大，时而雨雪交加，时而高温燥热";
    qi2["注意事项"] = "降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热";
    climatePrediction["二之气"] = qi2;

    var qi3 = new Dictionary<string, string>();
    qi3["主气"] = "少阳相火";
    qi3["客气"] = "厥阴风木";
    qi3["关系"] = "木生火，主客和谐，相得";
    qi3["时间"] = "5月21日至7月22日";
    qi3["气候"] = "大风天较多";
    qi3["注意事项"] = "多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）";
    climatePrediction["三之气"] = qi3;

    var qi4 = new Dictionary<string, string>();
    qi4["主气"] = "太阴湿土";
    qi4["客气"] = "少阴君火";
    qi4["关系"] = "火生土，主客和谐，相得";
    qi4["时间"] = "7月22日至9月23日";
    qi4["气候"] = "湿热交杂";
    qi4["注意事项"] = "防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻";
    climatePrediction["四之气"] = qi4;

    var qi5 = new Dictionary<string, string>();
    qi5["主气"] = "阳明燥金";
    qi5["客气"] = "太阴湿土";
    qi5["关系"] = "土生金，主客和谐，相得";
    qi5["时间"] = "9月23日至11月22日";
    qi5["气候"] = "干湿混杂，天气开始寒冷，寒雨交加";
    qi5["注意事项"] = "注意保湿，及时增减衣物";
    climatePrediction["五之气"] = qi5;

    var qizhong = new Dictionary<string, string>();
    qizhong["主气"] = "太阳寒水";
    qizhong["客气"] = "少阳相火";
    qizhong["关系"] = "水克火，主逐客，不相得";
    qizhong["时间"] = "11月22日至次年1月20日";
    qizhong["气候"] = "暖冬，流水不冰，草木反荣，蛰虫反现";
    qizhong["注意事项"] = "多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫";
    climatePrediction["终之气"] = qizhong;

    foreach (var entry in climatePrediction)
    {
        Console.WriteLine(entry.Key + ":");
        foreach (var subEntry in entry.Value)
        {
            Console.WriteLine($"  - {subEntry.Key}: {subEntry.Value}");
        }
    }
}

}
class MedicalCaseAnalysis {
private caseDescription: string;

constructor(caseDescription: string) {
    this.caseDescription = caseDescription;
}

analyzeCase(): Record<string, any> {
    // 分析病例并提取关键信息
    const analysis: Record<string, any> = {};
    analysis.patientName = "陶某某";
    analysis.age = 7;
    analysis.gender = "女";

    analysis.symptoms = [
        "发热数日",
        "昏迷不醒",
        "目闭不开",
        "两手拘急厥冷",
        "牙关紧闭",
        "角弓反张",
        "便秘涩"
    ];

    analysis.diagnosis = "痉病";
    analysis.pulse = "脉伏不应指";
    analysis.tongue = "舌不易察";
    analysis.faceColor = "面色晦滞";
    analysis.abdominalResponse = "手压其腹则反张更甚，其腹必痛";
    analysis.medicalReference = "《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”";
    analysis.treatmentPrinciple = "此为厥深热深的反映，议用急下存阴法。";

    analysis.initialPrescription = [
        ["炒枳实", 5],
        ["制厚朴", 5],
        ["锦纹黄(泡)", 10],
        ["玄明粉(泡)", 10]
    ];

    const followUp: Record<string, any> = {};

    const firstFollowUp: Record<string, any> = {};
    firstFollowUp.response = "服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回";
    firstFollowUp.prescription = [
        ["杭白芍", 10],
        ["炒山栀", 5],
        ["淡黄芩", 5],
        ["川黄连", 3],
        ["炒枳实", 5],
        ["牡丹皮", 5],
        ["天花粉", 7],
        ["锦纹黄(泡)", 7],
        ["飞滑石", 10],
        ["粉甘草", 3]
    ];
    followUp.firstFollowUp = firstFollowUp;

    const secondFollowUp: Record<string, any> = {};
    secondFollowUp.response = "渴止，小便畅利而痊";
    secondFollowUp.prescription = [];
    followUp.secondFollowUp = secondFollowUp;

    analysis.followUp = followUp;

    return analysis;
}

fiveElementsAnalysis(): Record<string, string> {
    // 天（火）法T.H.F - 宏观视角，战略规划
    const tianFa = "宏观战略规划：根据患者症状和诊断，确定治疗原则为急下存阴。";

    // 道（木）道D.M.D - 规律与原则，系统化与标准化
    const daoDe = "系统化方法论：参考《金匮》中的治疗方法，使用大承气汤及其后续调整方案。";

    // 人（金）术R.J.S - 个体价值，个性化与精准化
    const renShu = "个性化策略：根据患者的年龄和具体症状，制定个性化的用药方案。";

    // 事（水）势S.S.S - 灵活应对，动态调整与优化
    const shiShi = "灵活应对变化：在治疗过程中不断评估患者反应，并适时调整处方。";

    // 物（土）器W.T.Q - 资源有效利用，可持续发展
    const wuQi = "资源利用：合理选择和使用中药，确保药物的有效性和安全性。";

    const fiveElementsAnalysis: Record<string, string> = {
        天法: tianFa,
        道德: daoDe,
        人事: renShu,
        事势: shiShi,
        物资: wuQi
    };

    return fiveElementsAnalysis;
}

}

class JXWDYY_PFS_NLP_System {
private aiBrain: AI_Brain;

constructor(aiBrain: AI_Brain) {
    this.aiBrain = aiBrain;
}

processText(text: string): string {
    const analysis = this.aiBrain.analyzeText(text);
    return analysis;
}

holisticDiagnosticMapping(data: Record<string, any>): string {
    const mapping = this.aiBrain.mapData(data);
    return mapping;
}

applyFiveElementsLogic(concepts: string[]): string {
    const logicAnalysis = this.aiBrain.applyLogic(concepts);
    return logicAnalysis;
}

generateStrategy(context: Record<string, any>): string {
    const strategy = this.aiBrain.generateStrategy(context);
    return strategy;
}

}

class AI_Brain {
analyzeText(text: string): string {
// Placeholder for text analysis logic
return Analysis of: ${text};
}

mapData(data: Record<string, any>): string {
    // Placeholder for holistic diagnostic mapping
    return `Mapping of: ${JSON.stringify(data)}`;
}

applyLogic(concepts: string[]): string {
    // Placeholder for applying five elements logic
    let result = "Logic applied to: ";
    concepts.forEach(concept => {
        switch (concept) {
            case "道":
                result += "本质和规律,";
                break;
            case "法":
                result += "方法论,";
                break;
            case "术":
                result += "实践方法,";
                break;
            case "器":
                result += "工具,";
                break;
            case "势":
                result += "发展趋势,";
                break;
            default:
                result += "Unknown concept,";
        }
    });
    return result.trim();
}

generateStrategy(context: Record<string, any>): string {
    // Placeholder for generating strategy based on context
    return `Strategy generated from: ${JSON.stringify(context)}`;
}

}

const main = () => {
const aiBrain = new AI_Brain();
const system = new JXWDYY_PFS_NLP_System(aiBrain);

const text = `
    陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
`.trim();

const medicalCaseAnalysis = new MedicalCaseAnalysis(text);
const caseAnalysis = medicalCaseAnalysis.analyzeCase();

const textAnalysis = system.processText(text);
const holisticMapping = system.holisticDiagnosticMapping(caseAnalysis);
const logicAnalysis = system.applyFiveElementsLogic(["道", "法", "术", "器", "势"]);
const strategy = system.generateStrategy({ market_changes: "demand_increase" });

console.log("Heavenly Principle (HP):", textAnalysis);
console.log("Earthly Foundation (EF):", holisticMapping);
console.log("Human Dynamics (HD):", logicAnalysis);
console.log("Strategy:", strategy);

// 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
// 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

const faafe5dgof_hpefhdx_mapping: Record<string, Record<string, string>> = {};
const hp: Record<string, string> = {};
hp["T.H.F"] = "宏观视角，战略规划";
hp["H (F)"] = "热情、光明、向上、变化";
faafe5dgof_hpefhdx_mapping["Heavenly Principle (HP)"] = hp;

const ef: Record<string, string> = {};
ef["D.M.D"] = "规律与原则，系统化与标准化";
ef["Kun (坤)"] = "厚重、包容、稳定";
faafe5dgof_hpefhdx_mapping["Earthly Foundation (EF)"] = ef;

const hd: Record<string, string> = {};
hd["R.J.S"] = "个体价值，个性化与精准化";
hd["Zhen (震)"] = "活力、成长、动力";
faafe5dgof_hpefhdx_mapping["Human Dynamics (HD)"] = hd;

console.log("n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>");
for (const [key, value] of Object.entries(faafe5dgof_hpefhdx_mapping)) {
    console.log(key + ":");
    for (const [subKey, subValue] of Object.entries(value)) {
        console.log(`  - ${subKey}: ${subValue}`);
    }
}

// 医案具体分析
console.log("n医案具体分析:");
for (const [key, value] of Object.entries(caseAnalysis)) {
    if (Array.isArray(value)) {
        console.log(`${key}:`);
        value.forEach(item => {
            if (Array.isArray(item)) {
                console.log(`  - ${item[0]} ${item[1]}g`);
            } else {
                console.log(`  - ${item}`);
            }
        });
    } else if (typeof value === 'object' && value !== null) {
        console.log(`${key}:`);
        for (const [nestedKey, nestedValue] of Object.entries(value)) {
            console.log(`  - ${nestedKey}: ${nestedValue}`);
        }
    } else {
        console.log(`${key}: ${value}`);
    }
}

// 五行元素分析
const fiveElementsAnalysis = medicalCaseAnalysis.fiveElementsAnalysis();
console.log("n五行元素分析:");
for (const [key, value] of Object.entries(fiveElementsAnalysis)) {
    console.log(`- ${key}: ${value}`);
}

// 镜心悟道五行系统团队架构提示词框架标准无限推演专业版<jxwdyy系统模型>
console.log("n镜心悟道五行系统团队架构提示词框架标准无限推演专业版<jxwdyy系统模型>");

// 1ED.王阳明心学
console.log("1ED.王阳明心学: 通过知行合一，强调内心的修养和自我提升，以达到身心和谐的状态。");

// 2ED.ESG中医健康管理
console.log("2ED.ESG中医健康管理: 强调环境、社会和治理因素对健康的影响，倡导全面的健康管理理念。");

// 3ED.人性的矛盾
console.log("3ED.人性的矛盾: 探讨人类内心深处的各种冲突和矛盾，寻求平衡之道。");

// 4ED.道的悟道
console.log("4ED.道的悟道: 追求生命的真谛，理解宇宙的根本原理，实现心灵的解脱和超越。");

// 5ED.镜心悟道五行系统团队架构
console.log("5ED.镜心悟道五行系统团队架构: 结合五行理论，构建一个多智能体协调架构，实现系统的智能化和高效运作。");

// 多智能体协调架构（MACF）和全息辩证映射定义（Holistic Diagnostic Mapping，简称HDX）
console.log("n多智能体协调架构（MACF）和全息辩证映射定义（Holistic Diagnostic Mapping，简称HDX）:");

// 核心概念提炼<DFSQS>
console.log("n核心概念提炼<DFSQS>:");
console.log("  - **道D**: 本质和规律，事物运行的底层原理，不可更改。");
console.log("  - **法F**: 方法论，接近事物发展规律的方法论。");
console.log("  - **术S**: 实践方法，战略战术，具体的执行动作。");
console.log("  - **器Q**: 工具，载体，提高效率的工具。");
console.log("  - **势S**: 发展趋势，顺势而为，抓住时机。");

// 五行+天地人**五行**三元三维三层次无循环日记（金、木、水、火、土）和**天地人三才**（天X轴、地Y轴、人Z轴）**八卦**（乾、坤、震、巽、坎、离、艮、兑）
console.log("n五行+天地人:");
console.log("  - **五行**: 金、木、水、火、土");
console.log("  - **天地人三才**: 天X轴、地Y轴、人Z轴");
console.log("  - **八卦**: 乾、坤、震、巽、坎、离、艮、兑");

// 五行生克逻辑应用于2025年气候预测
console.log("n五行生克逻辑应用于2025年气候预测:");
const climatePrediction: Record<string, Record<string, string>> = {};

const qi1: Record<string, string> = {};
qi1["主气"] = "厥阴风木";
qi1["客气"] = "阳明燥金";
qi1["关系"] = "金克木，反客为主，不相得";
qi1["时间"] = "1月20日至3月20日";
qi1["气候"] = "开春较晚，温度偏低，风雪交加";
qi1["注意事项"] = "注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后";
climatePrediction["初之气"] = qi1;

const qi2: Record<string, string> = {};
qi2["主气"] = "少阴君火";
qi2["客气"] = "太阳寒水";
qi2["关系"] = "水克火，反客为主，不相得";
qi2["时间"] = "3月20日至5月21日";
qi2["气候"] = "反复无常，温差较大，时而雨雪交加，时而高温燥热";
qi2["注意事项"] = "降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热";
climatePrediction["二之气"] = qi2;

const qi3: Record<string, string> = {};
qi3["主气"] = "少阳相火";
qi3["客气"] = "厥阴风木";
qi3["关系"] = "木生火，主客和谐，相得";
qi3["时间"] = "5月21日至7月22日";
qi3["气候"] = "大风天较多";
qi3["注意事项"] = "多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）";
climatePrediction["三之气"] = qi3;

const qi4: Record<string, string> = {};
qi4["主气"] = "太阴湿土";
qi4["客气"] = "少阴君火";
qi4["关系"] = "火生土，主客和谐，相得";
qi4["时间"] = "7月22日至9月23日";
qi4["气候"] = "湿热交杂";
qi4["注意事项"] = "防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻";
climatePrediction["四之气"] = qi4;

const qi5: Record<string, string> = {};
qi5["主气"] = "阳明燥金";
qi5["客气"] = "太阴湿土";
qi5["关系"] = "土生金，主客和谐，相得";
qi5["时间"] = "9月23日至11月22日";
qi5["气候"] = "干湿混杂，天气开始寒冷，寒雨交加";
qi5["注意事项"] = "注意保湿，及时增减衣物";
climatePrediction["五之气"] = qi5;

const qizhong: Record<string, string> = {};
qizhong["主气"] = "太阳寒水";
qizhong["客气"] = "少阳相火";
qizhong["关系"] = "水克火，主逐客，不相得";
qizhong["时间"] = "11月22日至次年1月20日";
qizhong["气候"] = "暖冬，流水不冰，草木反荣，蛰虫反现";
qizhong["注意事项"] = "多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫";
climatePrediction["终之气"] = qizhong;

for (const [key, value] of Object.entries(climatePrediction)) {
    console.log(key + ":");
    for (const [subKey, subValue] of Object.entries(value)) {
        console.log(`  - ${subKey}: ${subValue}`);
    }
}

};

main();
class MedicalCaseAnalysis {
constructor(caseDescription) {
this.caseDescription = caseDescription;
}

analyzeCase() {
    // 分析病例并提取关键信息
    const analysis = {};
    analysis.patientName = "陶某某";
    analysis.age = 7;
    analysis.gender = "女";

    analysis.symptoms = [
        "发热数日",
        "昏迷不醒",
        "目闭不开",
        "两手拘急厥冷",
        "牙关紧闭",
        "角弓反张",
        "便秘涩"
    ];

    analysis.diagnosis = "痉病";
    analysis.pulse = "脉伏不应指";
    analysis.tongue = "舌不易察";
    analysis.faceColor = "面色晦滞";
    analysis.abdominalResponse = "手压其腹则反张更甚，其腹必痛";
    analysis.medicalReference = "《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”";
    analysis.treatmentPrinciple = "此为厥深热深的反映，议用急下存阴法。";

    analysis.initialPrescription = [
        ["炒枳实", 5],
        ["制厚朴", 5],
        ["锦纹黄(泡)", 10],
        ["玄明粉(泡)", 10]
    ];

    const followUp = {};

    const firstFollowUp = {};
    firstFollowUp.response = "服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回";
    firstFollowUp.prescription = [
        ["杭白芍", 10],
        ["炒山栀", 5],
        ["淡黄芩", 5],
        ["川黄连", 3],
        ["炒枳实", 5],
        ["牡丹皮", 5],
        ["天花粉", 7],
        ["锦纹黄(泡)", 7],
        ["飞滑石", 10],
        ["粉甘草", 3]
    ];
    followUp.firstFollowUp = firstFollowUp;

    const secondFollowUp = {};
    secondFollowUp.response = "渴止，小便畅利而痊";
    secondFollowUp.prescription = [];
    followUp.secondFollowUp = secondFollowUp;

    analysis.followUp = followUp;

    return analysis;
}

fiveElementsAnalysis() {
    // 天（火）法T.H.F - 宏观视角，战略规划
    const tianFa = "宏观战略规划：根据患者症状和诊断，确定治疗原则为急下存阴。";

    // 道（木）道D.M.D - 规律与原则，系统化与标准化
    const daoDe = "系统化方法论：参考《金匮》中的治疗方法，使用大承气汤及其后续调整方案。";

    // 人（金）术R.J.S - 个体价值，个性化与精准化
    const renShu = "个性化策略：根据患者的年龄和具体症状，制定个性化的用药方案。";

    // 事（水）势S.S.S - 灵活应对，动态调整与优化
    const shiShi = "灵活应对变化：在治疗过程中不断评估患者反应，并适时调整处方。";

    // 物（土）器W.T.Q - 资源有效利用，可持续发展
    const wuQi = "资源利用：合理选择和使用中药，确保药物的有效性和安全性。";

    const fiveElementsAnalysis = {
        天法: tianFa,
        道德: daoDe,
        人事: renShu,
        事势: shiShi,
        物资: wuQi
    };

    return fiveElementsAnalysis;
}

}

class JXWDYY_PFS_NLP_System {
constructor(aiBrain) {
this.aiBrain = aiBrain;
}

processText(text) {
    const analysis = this.aiBrain.analyzeText(text);
    return analysis;
}

holisticDiagnosticMapping(data) {
    const mapping = this.aiBrain.mapData(data);
    return mapping;
}

applyFiveElementsLogic(concepts) {
    const logicAnalysis = this.aiBrain.applyLogic(concepts);
    return logicAnalysis;
}

generateStrategy(context) {
    const strategy = this.aiBrain.generateStrategy(context);
    return strategy;
}

}

class AI_Brain {
analyzeText(text) {
// Placeholder for text analysis logic
return Analysis of: ${text};
}

mapData(data) {
    // Placeholder for holistic diagnostic mapping
    return `Mapping of: ${JSON.stringify(data)}`;
}

applyLogic(concepts) {
    // Placeholder for applying five elements logic
    let result = "Logic applied to: ";
    concepts.forEach(concept => {
        switch (concept) {
            case "道":
                result += "本质和规律,";
                break;
            case "法":
                result += "方法论,";
                break;
            case "术":
                result += "实践方法,";
                break;
            case "器":
                result += "工具,";
                break;
            case "势":
                result += "发展趋势,";
                break;
            default:
                result += "Unknown concept,";
        }
    });
    return result.trim();
}

generateStrategy(context) {
    // Placeholder for generating strategy based on context
    return `Strategy generated from: ${JSON.stringify(context)}`;
}

}

const main = () => {
const aiBrain = new AI_Brain();
const system = new JXWDYY_PFS_NLP_System(aiBrain);

const text = `
    陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
`;

const medicalCaseAnalysis = new MedicalCaseAnalysis(text);
const caseAnalysis = medicalCaseAnalysis.analyzeCase();

const textAnalysis = system.processText(text);
const holisticMapping = system.holisticDiagnosticMapping(caseAnalysis);
const logicAnalysis = system.applyFiveElementsLogic(["道", "法", "术", "器", "势"]);
const strategy = system.generateStrategy({ market_changes: "demand_increase" });

console.log("Heavenly Principle (HP):", textAnalysis);
console.log("Earthly Foundation (EF):", holisticMapping);
console.log("Human Dynamics (HD):", logicAnalysis);
console.log("Strategy:", strategy);

// 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
// 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

const faafe5dgof_hpefhdx_mapping = {};
const hp = {};
hp["T.H.F"] = "宏观视角，战略规划";
hp["H (F)"] = "热情、光明、向上、变化";
faafe5dgof_hpefhdx_mapping["Heavenly Principle (HP)"] = hp;

const ef = {};
ef["D.M.D"] = "规律与原则，系统化与标准化";
ef["Kun (坤)"] = "厚重、包容、稳定";
faafe5dgof_hpefhdx_mapping["Earthly Foundation (EF)"] = ef;

const hd = {};
hd["R.J.S"] = "个体价值，个性化与精准化";
hd["Zhen (震)"] = "活力、成长、动力";
faafe5dgof_hpefhdx_mapping["Human Dynamics (HD)"] = hd;

console.log("n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>");
for (const [key, value] of Object.entries(faafe5dgof_hpefhdx_mapping)) {
    console.log(key + ":");
    for (const [subKey, subValue] of Object.entries(value)) {
        console.log(`  - ${subKey}: ${subValue}`);
    }
}

// 医案具体分析
console.log("n医案具体分析:");
for (const [key, value] of Object.entries(caseAnalysis)) {
    if (Array.isArray(value)) {
        console.log(`${key}:`);
        value.forEach(item => console.log(`  - ${item}`));
    } else if (typeof value === 'object') {
        console.log(`${key}:`);
        for (const [subKey, subValue] of Object.entries(value)) {
            console.log(`  - ${subKey}: ${subValue}`);
        }
    } else {
        console.log(`${key}: ${value}`);
    }
}

// 五行生克逻辑应用于2025年气候预测
console.log("n五行生克逻辑应用于2025年气候预测:");
const climatePrediction = {};

const qi1 = {};
qi1["主气"] = "厥阴风木";
qi1["客气"] = "阳明燥金";
qi1["关系"] = "金克木，反客为主，不相得";
qi1["时间"] = "1月20日至3月20日";
qi1["气候"] = "开春较晚，温度偏低，风雪交加";
qi1["注意事项"] = "注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后";
climatePrediction["初之气"] = qi1;

const qi2 = {};
qi2["主气"] = "少阴君火";
qi2["客气"] = "太阳寒水";
qi2["关系"] = "水克火，反客为主，不相得";
qi2["时间"] = "3月20日至5月21日";
qi2["气候"] = "反复无常，温差较大，时而雨雪交加，时而高温燥热";
qi2["注意事项"] = "降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热";
climatePrediction["二之气"] = qi2;

const qi3 = {};
qi3["主气"] = "少阳相火";
qi3["客气"] = "厥阴风木";
qi3["关系"] = "木生火，主客和谐，相得";
qi3["时间"] = "5月21日至7月22日";
qi3["气候"] = "大风天较多";
qi3["注意事项"] = "多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）";
climatePrediction["三之气"] = qi3;

const qi4 = {};
qi4["主气"] = "太阴湿土";
qi4["客气"] = "少阴君火";
qi4["关系"] = "火生土，主客和谐，相得";
qi4["时间"] = "7月22日至9月23日";
qi4["气候"] = "湿热交杂";
qi4["注意事项"] = "防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻";
climatePrediction["四之气"] = qi4;

const qi5 = {};
qi5["主气"] = "阳明燥金";
qi5["客气"] = "太阴湿土";
qi5["关系"] = "土生金，主客和谐，相得";
qi5["时间"] = "9月23日至11月22日";
qi5["气候"] = "干湿混杂，天气开始寒冷，寒雨交加";
qi5["注意事项"] = "注意保湿，及时增减衣物";
climatePrediction["五之气"] = qi5;

const qizhong = {};
qizhong["主气"] = "太阳寒水";
qizhong["客气"] = "少阳相火";
qizhong["关系"] = "水克火，主逐客，不相得";
qizhong["时间"] = "11月22日至次年1月20日";
qizhong["气候"] = "暖冬，流水不冰，草木反荣，蛰虫反现";
qizhong["注意事项"] = "多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫";
climatePrediction["终之气"] = qizhong;

for (const [key, value] of Object.entries(climatePrediction)) {
    console.log(key + ":");
    for (const [subKey, subValue] of Object.entries(value)) {
        console.log(`  - ${subKey}: ${subValue}`);
    }
}

};

main();
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

class MedicalCaseAnalysis {
private String caseDescription;

public MedicalCaseAnalysis(String caseDescription) {
    this.caseDescription = caseDescription;
}

public Map<String, Object> analyzeCase() {
    // 分析病例并提取关键信息
    Map<String, Object> analysis = new HashMap<>();
    analysis.put("patientName", "陶某某");
    analysis.put("age", 7);
    analysis.put("gender", "女");

    List<String> symptoms = new ArrayList<>();
    symptoms.add("发热数日");
    symptoms.add("昏迷不醒");
    symptoms.add("目闭不开");
    symptoms.add("两手拘急厥冷");
    symptoms.add("牙关紧闭");
    symptoms.add("角弓反张");
    symptoms.add("便秘涩");
    analysis.put("symptoms", symptoms);

    analysis.put("diagnosis", "痉病");
    analysis.put("pulse", "脉伏不应指");
    analysis.put("tongue", "舌不易察");
    analysis.put("faceColor", "面色晦滞");
    analysis.put("abdominalResponse", "手压其腹则反张更甚，其腹必痛");
    analysis.put("medicalReference", "《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”");
    analysis.put("treatmentPrinciple", "此为厥深热深的反映，议用急下存阴法。");

    List<Object[]> initialPrescription = new ArrayList<>();
    initialPrescription.add(new Object[]{"炒枳实", 5});
    initialPrescription.add(new Object[]{"制厚朴", 5});
    initialPrescription.add(new Object[]{"锦纹黄(泡)", 10});
    initialPrescription.add(new Object[]{"玄明粉(泡)", 10});
    analysis.put("initialPrescription", initialPrescription);

    Map<String, Object> followUp = new HashMap<>();

    Map<String, Object> firstFollowUp = new HashMap<>();
    firstFollowUp.put("response", "服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回");
    List<Object[]> firstPrescription = new ArrayList<>();
    firstPrescription.add(new Object[]{"杭白芍", 10});
    firstPrescription.add(new Object[]{"炒山栀", 5});
    firstPrescription.add(new Object[]{"淡黄芩", 5});
    firstPrescription.add(new Object[]{"川黄连", 3});
    firstPrescription.add(new Object[]{"炒枳实", 5});
    firstPrescription.add(new Object[]{"牡丹皮", 5});
    firstPrescription.add(new Object[]{"天花粉", 7});
    firstPrescription.add(new Object[]{"锦纹黄(泡)", 7});
    firstPrescription.add(new Object[]{"飞滑石", 10});
    firstPrescription.add(new Object[]{"粉甘草", 3});
    firstFollowUp.put("prescription", firstPrescription);
    followUp.put("firstFollowUp", firstFollowUp);

    Map<String, Object> secondFollowUp = new HashMap<>();
    secondFollowUp.put("response", "渴止，小便畅利而痊");
    secondFollowUp.put("prescription", new ArrayList<>());
    followUp.put("secondFollowUp", secondFollowUp);

    analysis.put("followUp", followUp);

    return analysis;
}

public Map<String, String> fiveElementsAnalysis() {
    // 天（火）法T.H.F - 宏观视角，战略规划
    String tianFa = "宏观战略规划：根据患者症状和诊断，确定治疗原则为急下存阴。";

    // 道（木）道D.M.D - 规律与原则，系统化与标准化
    String daoDe = "系统化方法论：参考《金匮》中的治疗方法，使用大承气汤及其后续调整方案。";

    // 人（金）术R.J.S - 个体价值，个性化与精准化
    String renShu = "个性化策略：根据患者的年龄和具体症状，制定个性化的用药方案。";

    // 事（水）势S.S.S - 灵活应对，动态调整与优化
    String shiShi = "灵活应对变化：在治疗过程中不断评估患者反应，并适时调整处方。";

    // 物（土）器W.T.Q - 资源有效利用，可持续发展
    String wuQi = "资源利用：合理选择和使用中药，确保药物的有效性和安全性。";

    Map<String, String> fiveElementsAnalysis = new HashMap<>();
    fiveElementsAnalysis.put("天法", tianFa);
    fiveElementsAnalysis.put("道德", daoDe);
    fiveElementsAnalysis.put("人事", renShu);
    fiveElementsAnalysis.put("事势", shiShi);
    fiveElementsAnalysis.put("物资", wuQi);

    return fiveElementsAnalysis;
}

}

class JXWDYY_PFS_NLP_System {
private AI_Brain aiBrain;

public JXWDYY_PFS_NLP_System(AI_Brain aiBrain) {
    this.aiBrain = aiBrain;
}

public String processText(String text) {
    String analysis = aiBrain.analyzeText(text);
    return analysis;
}

public String holisticDiagnosticMapping(Map<String, Object> data) {
    String mapping = aiBrain.mapData(data);
    return mapping;
}

public String applyFiveElementsLogic(List<String> concepts) {
    String logicAnalysis = aiBrain.applyLogic(concepts);
    return logicAnalysis;
}

public String generateStrategy(Map<String, Object> context) {
    String strategy = aiBrain.generateStrategy(context);
    return strategy;
}

}

class AI_Brain {
public String analyzeText(String text) {
// Placeholder for text analysis logic
return "Analysis of: " + text;
}

public String mapData(Map<String, Object> data) {
    // Placeholder for holistic diagnostic mapping
    return "Mapping of: " + data.toString();
}

public String applyLogic(List<String> concepts) {
    // Placeholder for applying five elements logic
    StringBuilder result = new StringBuilder("Logic applied to: ");
    for (String concept : concepts) {
        switch (concept) {
            case "道":
                result.append("本质和规律,");
                break;
            case "法":
                result.append("方法论,");
                break;
            case "术":
                result.append("实践方法,");
                break;
            case "器":
                result.append("工具,");
                break;
            case "势":
                result.append("发展趋势,");
                break;
            default:
                result.append("Unknown concept,");
        }
    }
    return result.toString().trim();
}

public String generateStrategy(Map<String, Object> context) {
    // Placeholder for generating strategy based on context
    return "Strategy generated from: " + context.toString();
}

}

public class Main {
public static void main(String[] args) {
AI_Brain aiBrain = new AI_Brain();
JXWDYY_PFS_NLP_System system = new JXWDYY_PFS_NLP_System(aiBrain);

    String text = """
            陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
            """;

    MedicalCaseAnalysis medicalCaseAnalysis = new MedicalCaseAnalysis(text);
    Map<String, Object> caseAnalysis = medicalCaseAnalysis.analyzeCase();

    String textAnalysis = system.processText(text);
    String holisticMapping = system.holisticDiagnosticMapping(caseAnalysis);
    String logicAnalysis = system.applyFiveElementsLogic(List.of("道", "法", "术", "器", "势"));
    String strategy = system.generateStrategy(Map.of("market_changes", "demand_increase"));

    System.out.println("Heavenly Principle (HP): " + textAnalysis);
    System.out.println("Earthly Foundation (EF): " + holisticMapping);
    System.out.println("Human Dynamics (HD): " + logicAnalysis);
    System.out.println("Strategy: " + strategy);

    // 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
    // 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

    Map<String, Map<String, String>> faafe5dgof_hpefhdx_mapping = new HashMap<>();
    Map<String, String> hp = new HashMap<>();
    hp.put("T.H.F", "宏观视角，战略规划");
    hp.put("H (F)", "热情、光明、向上、变化");
    faafe5dgof_hpefhdx_mapping.put("Heavenly Principle (HP)", hp);

    Map<String, String> ef = new HashMap<>();
    ef.put("D.M.D", "规律与原则，系统化与标准化");
    ef.put("Kun (坤)", "厚重、包容、稳定");
    faafe5dgof_hpefhdx_mapping.put("Earthly Foundation (EF)", ef);

    Map<String, String> hd = new HashMap<>();
    hd.put("R.J.S", "个体价值，个性化与精准化");
    hd.put("Zhen (震)", "活力、成长、动力");
    faafe5dgof_hpefhdx_mapping.put("Human Dynamics (HD)", hd);

    System.out.println("n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>");
    for (Map.Entry<String, Map<String, String>> entry : faafe5dgof_hpefhdx_mapping.entrySet()) {
        System.out.println(entry.getKey() + ":");
        for (Map.Entry<String, String> subEntry : entry.getValue().entrySet()) {
            System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
        }
    }

    // 医案具体分析
    System.out.println("n医案具体分析:");
    for (Map.Entry<String, Object> entry : caseAnalysis.entrySet()) {
        if (entry.getValue() instanceof List) {
            System.out.println(entry.getKey() + ":");
            for (Object item : (List<?>) entry.getValue()) {
                System.out.println("  - " + item);
            }
        } else if (entry.getValue() instanceof Map) {
            System.out.println(entry.getKey() + ":");
            for (Map.Entry<?, ?> subEntry : ((Map<?, ?>) entry.getValue()).entrySet()) {
                System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
            }
        } else {
            System.out.println(entry.getKey() + ": " + entry.getValue());
        }
    }

    // 五行生克逻辑应用于2025年气候预测
    System.out.println("n五行生克逻辑应用于2025年气候预测:");
    Map<String, Map<String, String>> climatePrediction = new HashMap<>();

    Map<String, String> qi1 = new HashMap<>();
    qi1.put("主气", "厥阴风木");
    qi1.put("客气", "阳明燥金");
    qi1.put("关系", "金克木，反客为主，不相得");
    qi1.put("时间", "1月20日至3月20日");
    qi1.put("气候", "开春较晚，温度偏低，风雪交加");
    qi1.put("注意事项", "注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后");
    climatePrediction.put("初之气", qi1);

    Map<String, String> qi2 = new HashMap<>();
    qi2.put("主气", "少阴君火");
    qi2.put("客气", "太阳寒水");
    qi2.put("关系", "水克火，反客为主，不相得");
    qi2.put("时间", "3月20日至5月21日");
    qi2.put("气候", "反复无常，温差较大，时而雨雪交加，时而高温燥热");
    qi2.put("注意事项", "降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热");
    climatePrediction.put("二之气", qi2);

    Map<String, String> qi3 = new HashMap<>();
    qi3.put("主气", "少阳相火");
    qi3.put("客气", "厥阴风木");
    qi3.put("关系", "木生火，主客和谐，相得");
    qi3.put("时间", "5月21日至7月22日");
    qi3.put("气候", "大风天较多");
    qi3.put("注意事项", "多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）");
    climatePrediction.put("三之气", qi3);

    Map<String, String> qi4 = new HashMap<>();
    qi4.put("主气", "太阴湿土");
    qi4.put("客气", "少阴君火");
    qi4.put("关系", "火生土，主客和谐，相得");
    qi4.put("时间", "7月22日至9月23日");
    qi4.put("气候", "湿热交杂");
    qi4.put("注意事项", "防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻");
    climatePrediction.put("四之气", qi4);

    Map<String, String> qi5 = new HashMap<>();
    qi5.put("主气", "阳明燥金");
    qi5.put("客气", "太阴湿土");
    qi5.put("关系", "土生金，主客和谐，相得");
    qi5.put("时间", "9月23日至11月22日");
    qi5.put("气候", "干湿混杂，天气开始寒冷，寒雨交加");
    qi5.put("注意事项", "注意保湿，及时增减衣物");
    climatePrediction.put("五之气", qi5);

    Map<String, String> qizhong = new HashMap<>();
    qizhong.put("主气", "太阳寒水");
    qizhong.put("客气", "少阳相火");
    qizhong.put("关系", "水克火，主逐客，不相得");
    qizhong.put("时间", "11月22日至次年1月20日");
    qizhong.put("气候", "暖冬，流水不冰，草木反荣，蛰虫反现");
    qizhong.put("注意事项", "多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫");
    climatePrediction.put("终之气", qizhong);

    for (Map.Entry<String, Map<String, String>> entry : climatePrediction.entrySet()) {
        System.out.println(entry.getKey() + ":");
        for (Map.Entry<String, String> subEntry : entry.getValue().entrySet()) {
            System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
        }
    }

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

class MedicalCaseAnalysis {
private String caseDescription;

public MedicalCaseAnalysis(String caseDescription) {
    this.caseDescription = caseDescription;
}

public Map<String, Object> analyzeCase() {
    // 分析病例并提取关键信息
    Map<String, Object> analysis = new HashMap<>();
    analysis.put("patientName", "陶某某");
    analysis.put("age", 7);
    analysis.put("gender", "女");

    List<String> symptoms = new ArrayList<>();
    symptoms.add("发热数日");
    symptoms.add("昏迷不醒");
    symptoms.add("目闭不开");
    symptoms.add("两手拘急厥冷");
    symptoms.add("牙关紧闭");
    symptoms.add("角弓反张");
    symptoms.add("便秘涩");
    analysis.put("symptoms", symptoms);

    analysis.put("diagnosis", "痉病");
    analysis.put("pulse", "脉伏不应指");
    analysis.put("tongue", "舌不易察");
    analysis.put("faceColor", "面色晦滞");
    analysis.put("abdominalResponse", "手压其腹则反张更甚，其腹必痛");
    analysis.put("medicalReference", "《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”");
    analysis.put("treatmentPrinciple", "此为厥深热深的反映，议用急下存阴法。");

    List<Object[]> initialPrescription = new ArrayList<>();
    initialPrescription.add(new Object[]{"炒枳实", 5});
    initialPrescription.add(new Object[]{"制厚朴", 5});
    initialPrescription.add(new Object[]{"锦纹黄(泡)", 10});
    initialPrescription.add(new Object[]{"玄明粉(泡)", 10});
    analysis.put("initialPrescription", initialPrescription);

    Map<String, Object> followUp = new HashMap<>();

    Map<String, Object> firstFollowUp = new HashMap<>();
    firstFollowUp.put("response", "服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回");
    List<Object[]> firstPrescription = new ArrayList<>();
    firstPrescription.add(new Object[]{"杭白芍", 10});
    firstPrescription.add(new Object[]{"炒山栀", 5});
    firstPrescription.add(new Object[]{"淡黄芩", 5});
    firstPrescription.add(new Object[]{"川黄连", 3});
    firstPrescription.add(new Object[]{"炒枳实", 5});
    firstPrescription.add(new Object[]{"牡丹皮", 5});
    firstPrescription.add(new Object[]{"天花粉", 7});
    firstPrescription.add(new Object[]{"锦纹黄(泡)", 7});
    firstPrescription.add(new Object[]{"飞滑石", 10});
    firstPrescription.add(new Object[]{"粉甘草", 3});
    firstFollowUp.put("prescription", firstPrescription);
    followUp.put("firstFollowUp", firstFollowUp);

    Map<String, Object> secondFollowUp = new HashMap<>();
    secondFollowUp.put("response", "渴止，小便畅利而痊");
    secondFollowUp.put("prescription", new ArrayList<>());
    followUp.put("secondFollowUp", secondFollowUp);

    analysis.put("followUp", followUp);

    return analysis;
}

public Map<String, String> fiveElementsAnalysis() {
    // 天（火）法T.H.F - 宏观视角，战略规划
    String tianFa = "宏观战略规划：根据患者症状和诊断，确定治疗原则为急下存阴。";

    // 道（木）道D.M.D - 规律与原则，系统化与标准化
    String daoDe = "系统化方法论：参考《金匮》中的治疗方法，使用大承气汤及其后续调整方案。";

    // 人（金）术R.J.S - 个体价值，个性化与精准化
    String renShu = "个性化策略：根据患者的年龄和具体症状，制定个性化的用药方案。";

    // 事（水）势S.S.S - 灵活应对，动态调整与优化
    String shiShi = "灵活应对变化：在治疗过程中不断评估患者反应，并适时调整处方。";

    // 物（土）器W.T.Q - 资源有效利用，可持续发展
    String wuQi = "资源利用：合理选择和使用中药，确保药物的有效性和安全性。";

    Map<String, String> fiveElementsAnalysis = new HashMap<>();
    fiveElementsAnalysis.put("天法", tianFa);
    fiveElementsAnalysis.put("道德", daoDe);
    fiveElementsAnalysis.put("人事", renShu);
    fiveElementsAnalysis.put("事势", shiShi);
    fiveElementsAnalysis.put("物资", wuQi);

    return fiveElementsAnalysis;
}

}

class JXWDYY_PFS_NLP_System {
private AI_Brain aiBrain;

public JXWDYY_PFS_NLP_System(AI_Brain aiBrain) {
    this.aiBrain = aiBrain;
}

public String processText(String text) {
    String analysis = aiBrain.analyzeText(text);
    return analysis;
}

public String holisticDiagnosticMapping(Map<String, Object> data) {
    String mapping = aiBrain.mapData(data);
    return mapping;
}

public String applyFiveElementsLogic(List<String> concepts) {
    String logicAnalysis = aiBrain.applyLogic(concepts);
    return logicAnalysis;
}

public String generateStrategy(Map<String, Object> context) {
    String strategy = aiBrain.generateStrategy(context);
    return strategy;
}

}

class AI_Brain {
public String analyzeText(String text) {
// Placeholder for text analysis logic
return "Analysis of: " + text;
}

public String mapData(Map<String, Object> data) {
    // Placeholder for holistic diagnostic mapping
    return "Mapping of: " + data.toString();
}

public String applyLogic(List<String> concepts) {
    // Placeholder for applying five elements logic
    StringBuilder result = new StringBuilder("Logic applied to: ");
    for (String concept : concepts) {
        switch (concept) {
            case "道":
                result.append("本质和规律,");
                break;
            case "法":
                result.append("方法论,");
                break;
            case "术":
                result.append("实践方法,");
                break;
            case "器":
                result.append("工具,");
                break;
            case "势":
                result.append("发展趋势,");
                break;
            default:
                result.append("Unknown concept,");
        }
    }
    return result.toString().trim();
}

public String generateStrategy(Map<String, Object> context) {
    // Placeholder for generating strategy based on context
    return "Strategy generated from: " + context.toString();
}

}

public class Main {
public static void main(String[] args) {
AI_Brain aiBrain = new AI_Brain();
JXWDYY_PFS_NLP_System system = new JXWDYY_PFS_NLP_System(aiBrain);

    String text = """
            陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
            """;

    MedicalCaseAnalysis medicalCaseAnalysis = new MedicalCaseAnalysis(text);
    Map<String, Object> caseAnalysis = medicalCaseAnalysis.analyzeCase();

    String textAnalysis = system.processText(text);
    String holisticMapping = system.holisticDiagnosticMapping(caseAnalysis);
    String logicAnalysis = system.applyFiveElementsLogic(List.of("道", "法", "术", "器", "势"));
    String strategy = system.generateStrategy(Map.of("market_changes", "demand_increase"));

    System.out.println("Heavenly Principle (HP): " + textAnalysis);
    System.out.println("Earthly Foundation (EF): " + holisticMapping);
    System.out.println("Human Dynamics (HD): " + logicAnalysis);
    System.out.println("Strategy: " + strategy);

    // 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
    // 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

    Map<String, Map<String, String>> faafe5dgof_hpefhdx_mapping = new HashMap<>();
    Map<String, String> hp = new HashMap<>();
    hp.put("T.H.F", "宏观视角，战略规划");
    hp.put("H (F)", "热情、光明、向上、变化");
    faafe5dgof_hpefhdx_mapping.put("Heavenly Principle (HP)", hp);

    Map<String, String> ef = new HashMap<>();
    ef.put("D.M.D", "规律与原则，系统化与标准化");
    ef.put("Kun (坤)", "厚重、包容、稳定");
    faafe5dgof_hpefhdx_mapping.put("Earthly Foundation (EF)", ef);

    Map<String, String> hd = new HashMap<>();
    hd.put("R.J.S", "个体价值，个性化与精准化");
    hd.put("Zhen (震)", "活力、成长、动力");
    faafe5dgof_hpefhdx_mapping.put("Human Dynamics (HD)", hd);

    System.out.println("n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>");
    for (Map.Entry<String, Map<String, String>> entry : faafe5dgof_hpefhdx_mapping.entrySet()) {
        System.out.println(entry.getKey() + ":");
        for (Map.Entry<String, String> subEntry : entry.getValue().entrySet()) {
            System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
        }
    }

    // 医案具体分析
    System.out.println("n医案具体分析:");
    for (Map.Entry<String, Object> entry : caseAnalysis.entrySet()) {
        if (entry.getValue() instanceof List) {
            System.out.println(entry.getKey() + ":");
            for (Object item : (List<?>) entry.getValue()) {
                System.out.println("  - " + item);
            }
        } else if (entry.getValue() instanceof Map) {
            System.out.println(entry.getKey() + ":");
            for (Map.Entry<?, ?> subEntry : ((Map<?, ?>) entry.getValue()).entrySet()) {
                System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
            }
        } else {
            System.out.println(entry.getKey() + ": " + entry.getValue());
        }
    }

    // 五行生克逻辑应用于2025年气候预测
    System.out.println("n五行生克逻辑应用于2025年气候预测:");
    Map<String, Map<String, String>> climatePrediction = new HashMap<>();

    Map<String, String> qi1 = new HashMap<>();
    qi1.put("主气", "厥阴风木");
    qi1.put("客气", "阳明燥金");
    qi1.put("关系", "金克木，反客为主，不相得");
    qi1.put("时间", "1月20日至3月20日");
    qi1.put("气候", "开春较晚，温度偏低，风雪交加");
    qi1.put("注意事项", "注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后");
    climatePrediction.put("初之气", qi1);

    Map<String, String> qi2 = new HashMap<>();
    qi2.put("主气", "少阴君火");
    qi2.put("客气", "太阳寒水");
    qi2.put("关系", "水克火，反客为主，不相得");
    qi2.put("时间", "3月20日至5月21日");
    qi2.put("气候", "反复无常，温差较大，时而雨雪交加，时而高温燥热");
    qi2.put("注意事项", "降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热");
    climatePrediction.put("二之气", qi2);

    Map<String, String> qi3 = new HashMap<>();
    qi3.put("主气", "少阳相火");
    qi3.put("客气", "厥阴风木");
    qi3.put("关系", "木生火，主客和谐，相得");
    qi3.put("时间", "5月21日至7月22日");
    qi3.put("气候", "大风天较多");
    qi3.put("注意事项", "多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）");
    climatePrediction.put("三之气", qi3);

    Map<String, String> qi4 = new HashMap<>();
    qi4.put("主气", "太阴湿土");
    qi4.put("客气", "少阴君火");
    qi4.put("关系", "火生土，主客和谐，相得");
    qi4.put("时间", "7月22日至9月23日");
    qi4.put("气候", "湿热交杂");
    qi4.put("注意事项", "防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻");
    climatePrediction.put("四之气", qi4);

    Map<String, String> qi5 = new HashMap<>();
    qi5.put("主气", "阳明燥金");
    qi5.put("客气", "太阴湿土");
    qi5.put("关系", "土生金，主客和谐，相得");
    qi5.put("时间", "9月23日至11月22日");
    qi5.put("气候", "干湿混杂，天气开始寒冷，寒雨交加");
    qi5.put("注意事项", "注意保湿，及时增减衣物");
    climatePrediction.put("五之气", qi5);

    Map<String, String> qizhong = new HashMap<>();
    qizhong.put("主气", "太阳寒水");
    qizhong.put("客气", "少阳相火");
    qizhong.put("关系", "水克火，主逐客，不相得");
    qizhong.put("时间", "11月22日至次年1月20日");
    qizhong.put("气候", "暖冬，流水不冰，草木反荣，蛰虫反现");
    qizhong.put("注意事项", "多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫");
    climatePrediction.put("终之气", qizhong);

    for (Map.Entry<String, Map<String, String>> entry : climatePrediction.entrySet()) {
        System.out.println(entry.getKey() + ":");
        for (Map.Entry<String, String> subEntry : entry.getValue().entrySet()) {
            System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
        }
    }
}

}
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

class MedicalCaseAnalysis {
private String caseDescription;

public MedicalCaseAnalysis(String caseDescription) {
    this.caseDescription = caseDescription;
}

public Map<String, Object> analyzeCase() {
    // 分析病例并提取关键信息
    Map<String, Object> analysis = new HashMap<>();
    analysis.put("patientName", "陶某某");
    analysis.put("age", 7);
    analysis.put("gender", "女");

    List<String> symptoms = new ArrayList<>();
    symptoms.add("发热数日");
    symptoms.add("昏迷不醒");
    symptoms.add("目闭不开");
    symptoms.add("两手拘急厥冷");
    symptoms.add("牙关紧闭");
    symptoms.add("角弓反张");
    symptoms.add("便秘涩");
    analysis.put("symptoms", symptoms);

    analysis.put("diagnosis", "痉病");
    analysis.put("pulse", "脉伏不应指");
    analysis.put("tongue", "舌不易察");
    analysis.put("faceColor", "面色晦滞");
    analysis.put("abdominalResponse", "手压其腹则反张更甚，其腹必痛");
    analysis.put("medicalReference", "《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”");
    analysis.put("treatmentPrinciple", "此为厥深热深的反映，议用急下存阴法。");

    List<Object[]> initialPrescription = new ArrayList<>();
    initialPrescription.add(new Object[]{"炒枳实", 5});
    initialPrescription.add(new Object[]{"制厚朴", 5});
    initialPrescription.add(new Object[]{"锦纹黄(泡)", 10});
    initialPrescription.add(new Object[]{"玄明粉(泡)", 10});
    analysis.put("initialPrescription", initialPrescription);

    Map<String, Object> followUp = new HashMap<>();

    Map<String, Object> firstFollowUp = new HashMap<>();
    firstFollowUp.put("response", "服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回");
    List<Object[]> firstPrescription = new ArrayList<>();
    firstPrescription.add(new Object[]{"杭白芍", 10});
    firstPrescription.add(new Object[]{"炒山栀", 5});
    firstPrescription.add(new Object[]{"淡黄芩", 5});
    firstPrescription.add(new Object[]{"川黄连", 3});
    firstPrescription.add(new Object[]{"炒枳实", 5});
    firstPrescription.add(new Object[]{"牡丹皮", 5});
    firstPrescription.add(new Object[]{"天花粉", 7});
    firstPrescription.add(new Object[]{"锦纹黄(泡)", 7});
    firstPrescription.add(new Object[]{"飞滑石", 10});
    firstPrescription.add(new Object[]{"粉甘草", 3});
    firstFollowUp.put("prescription", firstPrescription);
    followUp.put("firstFollowUp", firstFollowUp);

    Map<String, Object> secondFollowUp = new HashMap<>();
    secondFollowUp.put("response", "渴止，小便畅利而痊");
    secondFollowUp.put("prescription", new ArrayList<>());
    followUp.put("secondFollowUp", secondFollowUp);

    analysis.put("followUp", followUp);

    return analysis;
}

public Map<String, String> fiveElementsAnalysis() {
    // 天（火）法T.H.F - 宏观视角，战略规划
    String tianFa = "宏观战略规划：根据患者症状和诊断，确定治疗原则为急下存阴。";

    // 道（木）道D.M.D - 规律与原则，系统化与标准化
    String daoDe = "系统化方法论：参考《金匮》中的治疗方法，使用大承气汤及其后续调整方案。";

    // 人（金）术R.J.S - 个体价值，个性化与精准化
    String renShu = "个性化策略：根据患者的年龄和具体症状，制定个性化的用药方案。";

    // 事（水）势S.S.S - 灵活应对，动态调整与优化
    String shiShi = "灵活应对变化：在治疗过程中不断评估患者反应，并适时调整处方。";

    // 物（土）器W.T.Q - 资源有效利用，可持续发展
    String wuQi = "资源利用：合理选择和使用中药，确保药物的有效性和安全性。";

    Map<String, String> fiveElementsAnalysis = new HashMap<>();
    fiveElementsAnalysis.put("天法", tianFa);
    fiveElementsAnalysis.put("道德", daoDe);
    fiveElementsAnalysis.put("人事", renShu);
    fiveElementsAnalysis.put("事势", shiShi);
    fiveElementsAnalysis.put("物资", wuQi);

    return fiveElementsAnalysis;
}

}

class JXWDYY_PFS_NLP_System {
private AI_Brain aiBrain;

public JXWDYY_PFS_NLP_System(AI_Brain aiBrain) {
    this.aiBrain = aiBrain;
}

public String processText(String text) {
    String analysis = aiBrain.analyzeText(text);
    return analysis;
}

public String holisticDiagnosticMapping(Map<String, Object> data) {
    String mapping = aiBrain.mapData(data);
    return mapping;
}

public String applyFiveElementsLogic(List<String> concepts) {
    String logicAnalysis = aiBrain.applyLogic(concepts);
    return logicAnalysis;
}

public String generateStrategy(Map<String, Object> context) {
    String strategy = aiBrain.generateStrategy(context);
    return strategy;
}

}

class AI_Brain {
public String analyzeText(String text) {
// Placeholder for text analysis logic
return "Analysis of: " + text;
}

public String mapData(Map<String, Object> data) {
    // Placeholder for holistic diagnostic mapping
    return "Mapping of: " + data.toString();
}

public String applyLogic(List<String> concepts) {
    // Placeholder for applying five elements logic
    StringBuilder result = new StringBuilder("Logic applied to: ");
    for (String concept : concepts) {
        switch (concept) {
            case "道":
                result.append("本质和规律,");
                break;
            case "法":
                result.append("方法论,");
                break;
            case "术":
                result.append("实践方法,");
                break;
            case "器":
                result.append("工具,");
                break;
            case "势":
                result.append("发展趋势,");
                break;
            default:
                result.append("Unknown concept,");
        }
    }
    return result.toString().trim();
}

public String generateStrategy(Map<String, Object> context) {
    // Placeholder for generating strategy based on context
    return "Strategy generated from: " + context.toString();
}

}

public class Main {
public static void main(String[] args) {
AI_Brain aiBrain = new AI_Brain();
JXWDYY_PFS_NLP_System system = new JXWDYY_PFS_NLP_System(aiBrain);

    String text = """
            陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
            """;

    MedicalCaseAnalysis medicalCaseAnalysis = new MedicalCaseAnalysis(text);
    Map<String, Object> caseAnalysis = medicalCaseAnalysis.analyzeCase();

    String textAnalysis = system.processText(text);
    String holisticMapping = system.holisticDiagnosticMapping(caseAnalysis);
    String logicAnalysis = system.applyFiveElementsLogic(List.of("道", "法", "术", "器", "势"));
    String strategy = system.generateStrategy(Map.of("market_changes", "demand_increase"));

    System.out.println("Heavenly Principle (HP): " + textAnalysis);
    System.out.println("Earthly Foundation (EF): " + holisticMapping);
    System.out.println("Human Dynamics (HD): " + logicAnalysis);
    System.out.println("Strategy: " + strategy);

    // 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
    // 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

    Map<String, Map<String, String>> faafe5dgof_hpefhdx_mapping = new HashMap<>();
    Map<String, String> hp = new HashMap<>();
    hp.put("T.H.F", "宏观视角，战略规划");
    hp.put("H (F)", "热情、光明、向上、变化");
    faafe5dgof_hpefhdx_mapping.put("Heavenly Principle (HP)", hp);

    Map<String, String> ef = new HashMap<>();
    ef.put("D.M.D", "规律与原则，系统化与标准化");
    ef.put("Kun (坤)", "厚重、包容、稳定");
    faafe5dgof_hpefhdx_mapping.put("Earthly Foundation (EF)", ef);

    Map<String, String> hd = new HashMap<>();
    hd.put("R.J.S", "个体价值，个性化与精准化");
    hd.put("Zhen (震)", "活力、成长、动力");
    faafe5dgof_hpefhdx_mapping.put("Human Dynamics (HD)", hd);

    System.out.println("n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>");
    for (Map.Entry<String, Map<String, String>> entry : faafe5dgof_hpefhdx_mapping.entrySet()) {
        System.out.println(entry.getKey() + ":");
        for (Map.Entry<String, String> subEntry : entry.getValue().entrySet()) {
            System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
        }
    }

    // 医案具体分析
    System.out.println("n医案具体分析:");
    for (Map.Entry<String, Object> entry : caseAnalysis.entrySet()) {
        if (entry.getValue() instanceof List) {
            System.out.println(entry.getKey() + ":");
            for (Object item : (List<?>) entry.getValue()) {
                System.out.println("  - " + item);
            }
        } else if (entry.getValue() instanceof Map) {
            System.out.println(entry.getKey() + ":");
            for (Map.Entry<?, ?> subEntry : ((Map<?, ?>) entry.getValue()).entrySet()) {
                System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
            }
        } else {
            System.out.println(entry.getKey() + ": " + entry.getValue());
        }
    }

    // 五行生克逻辑应用于2025年气候预测
    System.out.println("n五行生克逻辑应用于2025年气候预测:");
    Map<String, Map<String, String>> climatePrediction = new HashMap<>();

    Map<String, String> qi1 = new HashMap<>();
    qi1.put("主气", "厥阴风木");
    qi1.put("客气", "阳明燥金");
    qi1.put("关系", "金克木，反客为主，不相得");
    qi1.put("时间", "1月20日至3月20日");
    qi1.put("气候", "开春较晚，温度偏低，风雪交加");
    qi1.put("注意事项", "注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后");
    climatePrediction.put("初之气", qi1);

    Map<String, String> qi2 = new HashMap<>();
    qi2.put("主气", "少阴君火");
    qi2.put("客气", "太阳寒水");
    qi2.put("关系", "水克火，反客为主，不相得");
    qi2.put("时间", "3月20日至5月21日");
    qi2.put("气候", "反复无常，温差较大，时而雨雪交加，时而高温燥热");
    qi2.put("注意事项", "降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热");
    climatePrediction.put("二之气", qi2);

    Map<String, String> qi3 = new HashMap<>();
    qi3.put("主气", "少阳相火");
    qi3.put("客气", "厥阴风木");
    qi3.put("关系", "木生火，主客和谐，相得");
    qi3.put("时间", "5月21日至7月22日");
    qi3.put("气候", "大风天较多");
    qi3.put("注意事项", "多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）");
    climatePrediction.put("三之气", qi3);

    Map<String, String> qi4 = new HashMap<>();
    qi4.put("主气", "太阴湿土");
    qi4.put("客气", "少阴君火");
    qi4.put("关系", "火生土，主客和谐，相得");
    qi4.put("时间", "7月22日至9月23日");
    qi4.put("气候", "湿热交杂");
    qi4.put("注意事项", "防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻");
    climatePrediction.put("四之气", qi4);

    Map<String, String> qi5 = new HashMap<>();
    qi5.put("主气", "阳明燥金");
    qi5.put("客气", "太阴湿土");
    qi5.put("关系", "土生金，主客和谐，相得");
    qi5.put("时间", "9月23日至11月22日");
    qi5.put("气候", "干湿混杂，天气开始寒冷，寒雨交加");
    qi5.put("注意事项", "注意保湿，及时增减衣物");
    climatePrediction.put("五之气", qi5);

    Map<String, String> qizhong = new HashMap<>();
    qizhong.put("主气", "太阳寒水");
    qizhong.put("客气", "少阳相火");
    qizhong.put("关系", "水克火，主逐客，不相得");
    qizhong.put("时间", "11月22日至次年1月20日");
    qizhong.put("气候", "暖冬，流水不冰，草木反荣，蛰虫反现");
    qizhong.put("注意事项", "多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫");
    climatePrediction.put("终之气", qizhong);

    for (Map.Entry<String, Map<String, String>> entry : climatePrediction.entrySet()) {
        System.out.println(entry.getKey() + ":");
        for (Map.Entry<String, String> subEntry : entry.getValue().entrySet()) {
            System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
        }
    }
}

}
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

class Dao {
private String essence;
private String law;
private String strategy;
private List tool;
private String trend;

public Dao(String essence, String law, String strategy, List<String> tool, String trend) {
    this.essence = essence;
    this.law = law;
    this.strategy = strategy;
    this.tool = tool;
    this.trend = trend;
}

public String followEssence() {
    // 遵循本质规律
    return "Following Essence: " + essence;
}

public String interpretLaw() {
    // 诠释和总结方法论
    return "Interpreting Law: " + law;
}

public String executeStrategy() {
    // 执行策略
    return "Executing Strategy: " + strategy;
}

public String useTool() {
    // 使用工具
    return "Using Tool: " + String.join(", ", tool);
}

public String adaptToTrend() {
    // 顺应发展趋势
    return "Adapting to Trend: " + trend;
}

}

class MedicalCase extends Dao {
private Map<String, Object> patientInfo;
private List symptoms;
private Map<String, String> diagnosis;
private Map<String, List> treatmentPlan;
private Map<String, String> outcome;

public MedicalCase(Map<String, Object> patientInfo, List<String> symptoms, Map<String, String> diagnosis, Map<String, List<String>> treatmentPlan, Map<String, String> outcome) {
    super(diagnosis.get("essence"), diagnosis.get("law"), treatmentPlan.get("strategy").get(0), treatmentPlan.get("tool"), outcome.get("trend"));
    this.patientInfo = patientInfo;
    this.symptoms = symptoms;
    this.diagnosis = diagnosis;
    this.treatmentPlan = treatmentPlan;
    this.outcome = outcome;
}

public String analyzeCase() {
    String essenceResult = followEssence();
    String lawResult = interpretLaw();
    String strategyResult = executeStrategy();
    String toolResult = useTool();
    String trendResult = adaptToTrend();

    StringBuilder caseSummary = new StringBuilder();
    caseSummary.append("Patient Info: ").append(patientInfo).append("n");
    caseSummary.append("Symptoms: ").append(String.join(", ", symptoms)).append("n");
    caseSummary.append(essenceResult).append("n");
    caseSummary.append(lawResult).append("n");
    caseSummary.append(strategyResult).append("n");
    caseSummary.append(toolResult).append("n");
    caseSummary.append(trendResult).append("n");
    caseSummary.append("Outcome: ").append(outcome.get("description"));

    return caseSummary.toString();
}

}

class ClimatePrediction {
private int year;
private String description;
private List<Map<String, String>> qiPeriods;

public ClimatePrediction(int year, String description, List<Map<String, String>> qiPeriods) {
    this.year = year;
    this.description = description;
    this.qiPeriods = qiPeriods;
}

public String summarizeClimate() {
    StringBuilder summary = new StringBuilder();
    summary.append("Year: ").append(year).append("n");
    summary.append("Description: ").append(description).append("n");
    for (Map<String, String> period : qiPeriods) {
        summary.append("Qi Period: ").append(period.get("period")).append("n");
        summary.append("Time: ").append(period.get("time")).append("n");
        summary.append("Climate: ").append(period.get("climate")).append("n");
        summary.append("Notes: ").append(period.get("notes")).append("nn");
    }
    return summary.toString();
}

}

class JXWDYY_PFS_NLP_System {
private AI_Brain aiBrain;

public JXWDYY_PFS_NLP_System(AI_Brain aiBrain) {
    this.aiBrain = aiBrain;
}

public String processText(String text) {
    return aiBrain.analyzeText(text);
}

public String holisticDiagnosticMapping(Map<String, Object> data) {
    return aiBrain.mapData(data);
}

public String applyFiveElementsLogic(List<String> concepts) {
    return aiBrain.applyLogic(concepts);
}

public String generateStrategy(Map<String, Object> context) {
    return aiBrain.generateStrategy(context);
}

}

class AI_Brain {
public String analyzeText(String text) {
// Placeholder for text analysis logic
return "Analysis of: " + text;
}

public String mapData(Map<String, Object> data) {
    // Placeholder for holistic diagnostic mapping
    return "Mapping of: " + data;
}

public String applyLogic(List<String> concepts) {
    // Placeholder for applying five elements logic
    return "Logic applied to: " + concepts;
}

public String generateStrategy(Map<String, Object> context) {
    // Placeholder for generating strategy based on context
    return "Strategy generated from: " + context;
}

}

public class Main {
public static void main(String[] args) {
AI_Brain aiBrain = new AI_Brain();
JXWDYY_PFS_NLP_System system = new JXWDYY_PFS_NLP_System(aiBrain);

    String text = """
            陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为‘热盛于中’的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
            """;

    String textAnalysis = system.processText(text);
    String holisticMapping = system.holisticDiagnosticMapping(Map.of("key", "value"));
    String logicAnalysis = system.applyFiveElementsLogic(List.of("道", "法", "术", "器", "势"));
    String strategy = system.generateStrategy(Map.of("market_changes", "demand_increase"));

    System.out.println("Heavenly Principle (HP): " + textAnalysis);
    System.out.println("Earthly Foundation (EF): " + holisticMapping);
    System.out.println("Human Dynamics (HD): " + logicAnalysis);
    System.out.println("Strategy: " + strategy);

    // 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
    // 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

    // 示例输出映射
    Map<String, Map<String, String>> faafe5dgofHpefhdxMapping = new HashMap<>();
    faafe5dgofHpefhdxMapping.put("Heavenly Principle (HP)", Map.of(
        "T.H.F", "宏观视角，战略规划",
        "H (F)", "热情、光明、向上、变化"
    ));
    faafe5dgofHpefhdxMapping.put("Earthly Foundation (EF)", Map.of(
        "D.M.D", "规律与原则，系统化与标准化",
        "Kun (坤)", "厚重、包容、稳定"
    ));
    faafe5dgofHpefhdxMapping.put("Human Dynamics (HD)", Map.of(
        "R.J.S", "个体价值，个性化与精准化",
        "Zhen (震)", "活力、成长、动力"
    ));

    System.out.println("n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>");
    for (Map.Entry<String, Map<String, String>> entry : faafe5dgofHpefhdxMapping.entrySet()) {
        System.out.println(entry.getKey() + ":");
        for (Map.Entry<String, String> subEntry : entry.getValue().entrySet()) {
            System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
        }
    }

    // 医案具体分析
    Map<String, Object> patientInfo = new HashMap<>();
    patientInfo.put("姓名", "陶某某");
    patientInfo.put("性别", "女");
    patientInfo.put("年龄", "7岁");

    List<String> symptoms = List.of(
        "发热数日",
        "忽然昏迷不醒",
        "目闭不开",
        "两手拘急厥冷",
        "牙关紧闭",
        "角弓反张",
        "二便秘涩"
    );

    Map<String, String> diagnosis = new HashMap<>();
    diagnosis.put("essence", "厥深热深");
    diagnosis.put("law", "痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤");

    Map<String, List<String>> treatmentPlan = new HashMap<>();
    treatmentPlan.put("strategy", List.of("急下存阴法"));
    treatmentPlan.put("tool", List.of("炒枳实5g", "制厚朴5g", "锦纹黄(泡)10g", "玄明粉(泡)10g"));

    Map<String, String> outcome = new HashMap<>();
    outcome.put("trend", "病情好转");
    outcome.put("description", "渴止，小便畅利而痊");

    MedicalCase medicalCase = new MedicalCase(patientInfo, symptoms, diagnosis, treatmentPlan, outcome);
    String caseAnalysis = medicalCase.analyzeCase();

    System.out.println("n医案具体分析:n" + caseAnalysis);

    // 气候预测
    List<Map<String, String>> qiPeriods = new ArrayList<>();
    qiPeriods.add(Map.of(
        "period", "初之气",
        "time", "1月20日至3月20日",
        "climate", "开春较晚，温度偏低，风雪交加",
        "notes", "注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后。"
    ));
    qiPeriods.add(Map.of(
        "period", "二之气",
        "time", "3月20日至5月21日",
        "climate", "反复无常，温差较大，时而雨雪交加，时而高温燥热",
        "notes", "降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热。"
    ));
    qiPeriods.add(Map.of(
        "period", "三之气",
        "time", "5月21日至7月22日",
        "climate", "大风天较多",
        "notes", "多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）。"
    ));
    qiPeriods.add(Map.of(
        "period", "四之气",
        "time", "7月22日至9月23日",
        "climate", "湿热交杂",
        "notes", "防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻。"
    ));
    qiPeriods.add(Map.of(
        "period", "五之气",
        "time", "9月23日至11月22日",
        "climate", "干湿混杂，天气开始寒冷，寒雨交加",
        "notes", "注意保湿，及时增减衣物。"
    ));
    qiPeriods.add(Map.of(
        "period", "终之气",
        "time", "11月22日至次年1月20日",
        "climate", "暖冬，流水不冰，草木反荣，蛰虫反现",
        "notes", "多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫。"
    ));

    ClimatePrediction climatePrediction = new ClimatePrediction(2025, "极端气候和气候灾害较23年和24年有所减少，春天少出门，夏天防湿热，秋天注意保暖，冬天适合郊游。在饮食方面的话，冷天少吃寒凉的食物，热天少吃辛辣大热之物。最后祝大家新的一年顺风顺水，心想事成！", qiPeriods);
    String climateSummary = climatePrediction.summarizeClimate();

    System.out.println("n2025年气候预测:n" + climateSummary);
}

}
2025年为乙巳年，岁运金运不及，厥阴风木司天，少阳相火在泉。
初之气：主气厥阴风木，客气阳明燥金，金克木，反客为主，不相得。
时间：1月20日至3月20日
气候：开春较晚，温度偏低，风雪交加。
注意事项：注意保暖，不要过早减少衣物；万物苏醒较晚，昆虫标本采集时间应适当延后。
二之气：主气少阴君火，客气太阳寒水。水克火，反客为主，不相得。
时间：3月20日至5月21日
气候：反复无常，温差较大，时而雨雪交加，时而高温燥热
注意事项：降温时及时增添衣物，升温时多喝水；居家或外出采集均需常备清热药物，主要为里热。
三之气：主气少阳相火，客气厥阴风木，木生火，主客和谐，相得。
时间：5月21日至7月22日
气候：大风天较多
注意事项：多喝水，防范眼疾；外出在高海拔山地采集时注意天气（风力）。
四之气：主气太阴湿土，客气少阴君火，火生土，主客和谐，相得。
时间：7月22日至9月23日
气候：湿热交杂
注意事项：防范肝胆疾病与皮肤病，常备祛湿的药物和疏肝的药物，外出采集小心皮肤病和腹泻。
五之气：主气阳明燥金，客气太阴湿土，土生金，主客和谐，相得。
时间：9月23日至11月22日
气候：干湿混杂，天气开始寒冷，寒雨交加。
注意事项：注意保湿，及时增减衣物。
终之气：主气太阳寒水，客气少阳相火，水克火，主逐客，不相得。
时间：11月22日至次年1月20日
气候：暖冬，流水不冰，草木反荣，蛰虫反现
注意事项：多喝热水，适合采集以幼虫越冬的种类，如脉翅目幼虫、双翅目幼虫。
总结：
    2025年极端气候和气候灾害较23年和24年有所减少，春天少出门，夏天防湿热，秋天注意保暖，冬天适合郊游。在饮食方面的话，冷天少吃寒凉的食物，热天少吃辛辣大热之物。最后祝大家新的一年顺风顺水，心想事成！
以上内容均参考自《黄帝内经素问六元正纪大论》
class JXWDYY_PFS_NLP_System:
def init(self, ai_brain):
self.ai_brain = ai_brain

def process_text(self, text):
    analysis = self.ai_brain.analyze_text(text)
    return analysis

def holistic_diagnostic_mapping(self, data):
    mapping = self.ai_brain.map_data(data)
    return mapping

def apply_five_elements_logic(self, concepts):
    logic_analysis = self.ai_brain.apply_logic(concepts)
    return logic_analysis

def generate_strategy(self, context):
    strategy = self.ai_brain.generate_strategy(context)
    return strategy

Example usage

class AI_Brain:
def analyze_text(self, text):

Placeholder for text analysis logic

    return f"Analysis of: {text}"

def map_data(self, data):
    # Placeholder for holistic diagnostic mapping
    return f"Mapping of: {data}"

def apply_logic(self, concepts):
    # Placeholder for applying five elements logic
    return f"Logic applied to: {concepts}"

def generate_strategy(self, context):
    # Placeholder for generating strategy based on context
    return f"Strategy generated from: {context}"

ai_brain = AI_Brain()
system = JXWDYY_PFS_NLP_System(ai_brain)

text = """
陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
"""

text_analysis = system.process_text(text)
holistic_mapping = system.holistic_diagnostic_mapping({"key": "value"})
logic_analysis = system.apply_five_elements_logic(["道", "法", "术", "器", "势"])
strategy = system.generate_strategy({"market_changes": "demand_increase"})

print(f"Heavenly Principle (HP): {text_analysis}")
print(f"Earthly Foundation (EF): {holistic_mapping}")
print(f"Human Dynamics (HD): {logic_analysis}")
print(f"Strategy: {strategy}")

五元五维生克逻辑函数全息分析算法框架 +

天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

示例输出映射

faafe5dgof_hpefhdx_mapping = {
"Heavenly Principle (HP)": {
"T.H.F": "宏观视角，战略规划",
"H (F)": "热情、光明、向上、变化"
},
"Earthly Foundation (EF)": {
"D.M.D": "规律与原则，系统化与标准化",
"Kun (坤)": "厚重、包容、稳定"
},
"Human Dynamics (HD)": {
"R.J.S": "个体价值，个性化与精准化",
"Zhen (震)": "活力、成长、动力"
}
}

print("n五元五维生克逻辑函数全息分析算法框架 +")
for key, value in faafe5dgof_hpefhdx_mapping.items():
print(f"{key}:")
for sub_key, sub_value in value.items():
print(f" - {sub_key}: {sub_value}")

医案具体分析

case_analysis = {
"患者信息": {
"姓名": "陶某某",
"性别": "女",
"年龄": "7岁"
},
"症状": [
"发热数日",
"忽然昏迷不醒",
"目闭不开",
"两手拘急厥冷",
"牙关紧闭",
"角弓反张",
"二便秘涩"
],
"诊断": {
"脉象": "脉伏不应指",
"其他": ["口噤", "舌不易察", "面色晦滞"]
},
"治疗": {
"初步诊断": "厥深热深",
"治疗方法": "急下存阴法",
"药物": ["炒枳实5g", "制厚朴5g", "锦纹黄(泡)10g", "玄明粉(泡)10g"],
"后续处理": [
"抉齿连续灌服",
"泻下黏溏夹血的粪便极多",
"痉止厥回",
"更进1剂",
"热退神清",
"口渴甚",
"腹部阵痛拒按",
"显然是‘胃家实’",
"用药：杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g"
]
},
"结果": "渴止，小便畅利而痊",
"总结": "小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为‘热盛于中’的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。"
}

print("n医案具体分析:")
for key, value in case_analysis.items():
if isinstance(value, list):
print(f"{key}:")
for item in value:
print(f" - {item}")
elif isinstance(value, dict):
print(f"{key}:")
for sub_key, sub_value in value.items():
print(f" - {sub_key}: {sub_value}")
else:
print(f"{key}: {value}")
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

class MedicalCaseAnalysis {
private String caseDescription;

public MedicalCaseAnalysis(String caseDescription) {
    this.caseDescription = caseDescription;
}

public Map<String, Object> analyzeCase() {
    // 分析病例并提取关键信息
    Map<String, Object> analysis = new HashMap<>();
    analysis.put("patientName", "陶某某");
    analysis.put("age", 7);
    analysis.put("gender", "女");

    List<String> symptoms = new ArrayList<>();
    symptoms.add("发热数日");
    symptoms.add("昏迷不醒");
    symptoms.add("目闭不开");
    symptoms.add("两手拘急厥冷");
    symptoms.add("牙关紧闭");
    symptoms.add("角弓反张");
    symptoms.add("便秘涩");
    analysis.put("symptoms", symptoms);

    analysis.put("diagnosis", "痉病");
    analysis.put("pulse", "脉伏不应指");
    analysis.put("tongue", "舌不易察");
    analysis.put("faceColor", "面色晦滞");
    analysis.put("abdominalResponse", "手压其腹则反张更甚，其腹必痛");
    analysis.put("medicalReference", "《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”");
    analysis.put("treatmentPrinciple", "此为厥深热深的反映，议用急下存阴法。");

    List<Object> initialPrescription = new ArrayList<>();
    initialPrescription.add(new Object[]{"炒枳实", 5});
    initialPrescription.add(new Object[]{"制厚朴", 5});
    initialPrescription.add(new Object[]{"锦纹黄(泡)", 10});
    initialPrescription.add(new Object[]{"玄明粉(泡)", 10});
    analysis.put("initialPrescription", initialPrescription);

    Map<String, Object> followUp = new HashMap<>();

    Map<String, Object> firstFollowUp = new HashMap<>();
    firstFollowUp.put("response", "服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回");
    List<Object> firstPrescription = new ArrayList<>();
    firstPrescription.add(new Object[]{"杭白芍", 10});
    firstPrescription.add(new Object[]{"炒山栀", 5});
    firstPrescription.add(new Object[]{"淡黄芩", 5});
    firstPrescription.add(new Object[]{"川黄连", 3});
    firstPrescription.add(new Object[]{"炒枳实", 5});
    firstPrescription.add(new Object[]{"牡丹皮", 5});
    firstPrescription.add(new Object[]{"天花粉", 7});
    firstPrescription.add(new Object[]{"锦纹黄(泡)", 7});
    firstPrescription.add(new Object[]{"飞滑石", 10});
    firstPrescription.add(new Object[]{"粉甘草", 3});
    firstFollowUp.put("prescription", firstPrescription);
    followUp.put("firstFollowUp", firstFollowUp);

    Map<String, Object> secondFollowUp = new HashMap<>();
    secondFollowUp.put("response", "渴止，小便畅利而痊");
    secondFollowUp.put("prescription", new ArrayList<>());
    followUp.put("secondFollowUp", secondFollowUp);

    analysis.put("followUp", followUp);

    return analysis;
}

public Map<String, String> fiveElementsAnalysis() {
    // 天（火）法T.H.F - 宏观视角，战略规划
    String tianFa = "宏观战略规划：根据患者症状和诊断，确定治疗原则为急下存阴。";

    // 道（木）道D.M.D - 规律与原则，系统化与标准化
    String daoDe = "系统化方法论：参考《金匮》中的治疗方法，使用大承气汤及其后续调整方案。";

    // 人（金）术R.J.S - 个体价值，个性化与精准化
    String renShu = "个性化策略：根据患者的年龄和具体症状，制定个性化的用药方案。";

    // 事（水）势S.S.S - 灵活应对，动态调整与优化
    String shiShi = "灵活应对变化：在治疗过程中不断评估患者反应，并适时调整处方。";

    // 物（土）器W.T.Q - 资源有效利用，可持续发展
    String wuQi = "资源利用：合理选择和使用中药，确保药物的有效性和安全性。";

    Map<String, String> fiveElementsAnalysis = new HashMap<>();
    fiveElementsAnalysis.put("天法", tianFa);
    fiveElementsAnalysis.put("道德", daoDe);
    fiveElementsAnalysis.put("人事", renShu);
    fiveElementsAnalysis.put("事势", shiShi);
    fiveElementsAnalysis.put("物资", wuQi);

    return fiveElementsAnalysis;
}

}

class JXWDYY_PFS_NLP_System {
private AI_Brain aiBrain;

public JXWDYY_PFS_NLP_System(AI_Brain aiBrain) {
    this.aiBrain = aiBrain;
}

public String processText(String text) {
    String analysis = aiBrain.analyzeText(text);
    return analysis;
}

public String holisticDiagnosticMapping(Map<String, Object> data) {
    String mapping = aiBrain.mapData(data);
    return mapping;
}

public String applyFiveElementsLogic(List<String> concepts) {
    String logicAnalysis = aiBrain.applyLogic(concepts);
    return logicAnalysis;
}

public String generateStrategy(Map<String, Object> context) {
    String strategy = aiBrain.generateStrategy(context);
    return strategy;
}

}

class AI_Brain {
public String analyzeText(String text) {
// Placeholder for text analysis logic
return "Analysis of: " + text;
}

public String mapData(Map<String, Object> data) {
    // Placeholder for holistic diagnostic mapping
    return "Mapping of: " + data.toString();
}

public String applyLogic(List<String> concepts) {
    // Placeholder for applying five elements logic
    return "Logic applied to: " + concepts.toString();
}

public String generateStrategy(Map<String, Object> context) {
    // Placeholder for generating strategy based on context
    return "Strategy generated from: " + context.toString();
}

}

public class Main {
public static void main(String[] args) {
String text = """
陶某某，女，7岁。发热数日，忽然昏迷不醒，目闭不开，两手拘急厥冷，牙关紧闭，角弓反张，二便秘涩。诊视脉伏不应指，口噤，舌不易察，面色晦滞，手压其腹则反张更甚，其腹必痛。《金匮》云：“痉为病，胸满口噤，卧不着席，脚挛急，必齘齿，可与大承气汤。”此为厥深热深的反映，议用急下存阴法。炒枳实5g，制厚朴5g，锦纹黄(泡)10g，玄明粉(泡)10g。复诊：抉齿连续灌服，服药后1时许，扰动不安，呻吟一声，泻下黏溏夹血的粪便极多，痉止厥回，更进1剂，热退神清。但口渴甚，腹部阵痛拒按，显然“胃家实”也。杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g。复诊方服至3剂，渴止，小便畅利而痊。按：小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为“热盛于中”的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。
""";

    MedicalCaseAnalysis medicalCase = new MedicalCaseAnalysis(text);
    Map<String, Object> analysis = medicalCase.analyzeCase();
    Map<String, String> fiveElementsAnalysis = medicalCase.fiveElementsAnalysis();

    AI_Brain aiBrain = new AI_Brain();
    JXWDYY_PFS_NLP_System system = new JXWDYY_PFS_NLP_System(aiBrain);

    String textAnalysis = system.processText(text);
    String holisticMapping = system.holisticDiagnosticMapping(analysis);
    String logicAnalysis = system.applyFiveElementsLogic(List.of("道", "法", "术", "器", "势"));
    String strategy = system.generateStrategy(Map.of("market_changes", "demand_increase"));

    System.out.println("Heavenly Principle (HP): " + textAnalysis);
    System.out.println("Earthly Foundation (EF): " + holisticMapping);
    System.out.println("Human Dynamics (HD): " + logicAnalysis);
    System.out.println("Strategy: " + strategy);

    // 五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>
    // 天（火）法T.H.F、道（木）道D.M.D、人（金）术R.J.S、事（水）势S.S.S、物（土）器W.T.Q

    // 示例输出映射
    Map<String, Map<String, String>> faafe5dgof_hpefhdx_mapping = new HashMap<>();
    Map<String, String> hpMapping = new HashMap<>();
    hpMapping.put("T.H.F", "宏观视角，战略规划");
    hpMapping.put("H (F)", "热情、光明、向上、变化");
    faafe5dgof_hpefhdx_mapping.put("Heavenly Principle (HP)", hpMapping);

    Map<String, String> efMapping = new HashMap<>();
    efMapping.put("D.M.D", "规律与原则，系统化与标准化");
    efMapping.put("Kun (坤)", "厚重、包容、稳定");
    faafe5dgof_hpefhdx_mapping.put("Earthly Foundation (EF)", efMapping);

    Map<String, String> hdMapping = new HashMap<>();
    hdMapping.put("R.J.S", "个体价值，个性化与精准化");
    hdMapping.put("Zhen (震)", "活力、成长、动力");
    faafe5dgof_hpefhdx_mapping.put("Human Dynamics (HD)", hdMapping);

    System.out.println("n五元五维生克逻辑函数全息分析算法框架 <FAAFE5DGOF>+<HPEFHD>");
    for (Map.Entry<String, Map<String, String>> entry : faafe5dgof_hpefhdx_mapping.entrySet()) {
        System.out.println(entry.getKey() + ":");
        for (Map.Entry<String, String> subEntry : entry.getValue().entrySet()) {
            System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
        }
    }

    // 医案具体分析
    Map<String, Object> caseAnalysis = new HashMap<>();
    Map<String, String> patientInfo = new HashMap<>();
    patientInfo.put("姓名", "陶某某");
    patientInfo.put("性别", "女");
    patientInfo.put("年龄", "7岁");
    caseAnalysis.put("患者信息", patientInfo);

    List<String> symptoms = new ArrayList<>();
    symptoms.add("发热数日");
    symptoms.add("忽然昏迷不醒");
    symptoms.add("目闭不开");
    symptoms.add("两手拘急厥冷");
    symptoms.add("牙关紧闭");
    symptoms.add("角弓反张");
    symptoms.add("便秘涩");
    caseAnalysis.put("症状", symptoms);

    Map<String, Object> diagnosis = new HashMap<>();
    diagnosis.put("脉象", "脉伏不应指");
    List<String> otherDiagnosis = new ArrayList<>();
    otherDiagnosis.add("口噤");
    otherDiagnosis.add("舌不易察");
    otherDiagnosis.add("面色晦滞");
    diagnosis.put("其他", otherDiagnosis);
    caseAnalysis.put("诊断", diagnosis);

    Map<String, Object> treatment = new HashMap<>();
    treatment.put("初步诊断", "厥深热深");
    treatment.put("治疗方法", "急下存阴法");

    List<Object> initialPrescription = new ArrayList<>();
    initialPrescription.add(new Object[]{"炒枳实", 5});
    initialPrescription.add(new Object[]{"制厚朴", 5});
    initialPrescription.add(new Object[]{"锦纹黄(泡)", 10});
    initialPrescription.add(new Object[]{"玄明粉(泡)", 10});
    treatment.put("药物", initialPrescription);

    List<String> subsequentTreatment = new ArrayList<>();
    subsequentTreatment.add("抉齿连续灌服");
    subsequentTreatment.add("泻下黏溏夹血的粪便极多");
    subsequentTreatment.add("痉止厥回");
    subsequentTreatment.add("更进1剂");
    subsequentTreatment.add("热退神清");
    subsequentTreatment.add("口渴甚");
    subsequentTreatment.add("腹部阵痛拒按");
    subsequentTreatment.add("显然是‘胃家实’");
    subsequentTreatment.add("用药：杭白芍10g，炒山栀5g，淡黄芩5g，川黄连3g，炒枳实5g，牡丹皮5g，天花粉7g，锦纹黄(泡)7g，飞滑石10g，粉甘草3g");
    treatment.put("后续处理", subsequentTreatment);

    caseAnalysis.put("治疗", treatment);

    caseAnalysis.put("结果", "渴止，小便畅利而痊");

    String summary = "小儿口噤肢冷，目合面晦，脉不应指，似为阴寒所袭。通过手触其腹，反张更甚，二便秘涩，断定为‘热盛于中’的证征。断然用承气急下，泻热存阴，釜底抽薪，因而获救。";
    caseAnalysis.put("总结", summary);

    System.out.println("n医案具体分析:");
    for (Map.Entry<String, Object> entry : caseAnalysis.entrySet()) {
        if (entry.getValue() instanceof List) {
            System.out.println(entry.getKey() + ":");
            for (Object item : (List<?>) entry.getValue()) {
                System.out.println("  - " + item);
            }
        } else if (entry.getValue() instanceof Map) {
            System.out.println(entry.getKey() + ":");
            for (Map.Entry<?, ?> subEntry : ((Map<?, ?>) entry.getValue()).entrySet()) {
                System.out.println("  - " + subEntry.getKey() + ": " + subEntry.getValue());
            }
        } else {
            System.out.println(entry.getKey() + ": " + entry.getValue());
        }
    }
}

}

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