在21世紀(jì),醫(yī)療保健系統(tǒng)要面對來自老人,小孩和青年人日益增長的心臟疾病的壓力。在過去的幾十年里,信息和通訊技術(shù)的發(fā)展有了令人難以置信的提高,特別是依附于ICT系統(tǒng)。ICT系統(tǒng)在用于新的醫(yī)療精華來源,醫(yī)療組織形式和全球經(jīng)濟(jì)建設(shè)上�；贔uzzy原則系統(tǒng)在信息通訊技術(shù)上起到了重要的作用,醫(yī)療系統(tǒng)也在社會和經(jīng)濟(jì)發(fā)展上貢獻(xiàn)了心血管疾病和現(xiàn)代醫(yī)學(xué)的支持。然而,為了利用Fuzzy原則醫(yī)療企業(yè)和患者有必要根據(jù)Fuzzy原則來診斷系統(tǒng)的可靠性,性能和部署而開展醫(yī)療系統(tǒng)。現(xiàn)在就有很多文獻(xiàn)中許多的研究人員和學(xué)者都是依靠Fuzzy原則的支持通過醫(yī)療領(lǐng)域的智能系統(tǒng),機(jī)器人系統(tǒng),醫(yī)療數(shù)據(jù)處理和分析來處理。但這些Fuzzy原則應(yīng)該建立在對心血管疾病支持系統(tǒng)和需要進(jìn)一步研究討論上。同時,我們提出了基于Fuzzy原則對心血管病人更有效和高效性。在我們的系統(tǒng)里,我們絕對要最小化輸入屬性的數(shù)量和減少診斷測試的次數(shù)。我們使用7屬性,6輸入和一個輸出結(jié)果來識別患者的心血管疾病。我們把6個重要癥狀,體征,屬性輸入到計算機(jī)數(shù)據(jù)中加入（年紀(jì),血壓,膽固醇,最大心率,歷史峰值,鉈掃描）和輸出一個范圍從0到1的風(fēng)險值,例如：健康和生病... 

【文章來源】：中南大學(xué)湖南省211工程院校985工程院校教育部直屬院校

【文章頁數(shù)】：74 頁

【學(xué)位級別】：碩士

【文章目錄】：
ACKNOWLEDGEMENT
摘要
ABSTRACT
TABLE OF CONTENTS
LIST OF FIGURES
LIST OF TABLES
LIST OF ABBRIVATIONS
CHAPTER 1:INTRODUCTION
    1.1 Introduction
    1.2 Motivation
    1.3. Declaration of Problem
    1.4 Objective
        1.4.1 General Objective
        1.4.2 Specific Objective
    1.5 Relevant Work
    1.6 Fuzzy Logic and Cardiovascular Disease
        1.6.1 Fuzzy Logic
        1.6.2 Cardiovascular Disease
    1.7 Thesis Outline
CHAPTER 2:FUZZY LOGIC
    2.1 Introduction
    2.2 Fuzzy Logic
    2.3 Fuzzy Rules and Reasoning
        2.3.1 Fuzzy If-Then Rules
        2.3.2 Fuzzy Reasoning
            2.3.2.1 Approximation
            2.3.2.2 Realization
    2.4 Membership Functions
        2.4.1 Types of Membership Function
    2.5 Building Fuzzy Logic Model
        2.5.1 Input
        2.5.2 Fuzzification
        2.5.3 Inference Engine(Rule Base)
        2.5.4 Defuzzification
            2.5.4.1 Mean of Maximum(MOM)Method
            2.5.4.2 Centre of Area/Gravity(COG)Method
            2.5.4.3 Bisector of area(BOA)
        2.5.5 Output
    2.6 Advantages and Disadvantage of Fuzzy System
    2.7 Chapter summary
CHAPTER 3:CARDIOVASCULAR DISEASE AND METHODOLOGY
    3.1 Exactly what is cardiovascular disease
    3.2 Types of the Cardiovascular Disease
    3.3 Principal Symptoms of Cardiovascular disease
    3.4 Cardiovascular disease Diagnosis
        3.4.1 ECG
        3.4.2 Blood Tests
        3.4.3 Echocardiography(ECHO)
        3.4.4 Stress Test
    3.5 Treatments for Heart Disease
    3.6 Risk factors and ranges
    3.7 Diagnosis diseases methodology
    3.8 Systematic shape of Fuzzy Model
        3.8.1 Multi-Input Multi-Output
    3.9 Proposed Model of Fuzzy Rule Based system;for heart disease diagnose
    3.10 Chapter Summary
CHAPTER 4:PROPOSED SYSTEM AND IMPLEMENTATION
    4.1 Introduction
    4.2 Fuzzy Rule Based system for heart disease diagnose
    4.3 Description of heart disease datasets
    4.4 Data Processing
        4.4.1 Data Formats
        4.4.2 Attribute Selection
    4.5 Algorithm
    4.6 System Phases
        4.6.1 Input(Fuzzification)and Membership Function
        4.6.2 Rules evaluation
        4.6.3 Output(Defuzzifiction)
    4.7 Chapter Summary
CHAPTER 5:SYSTEM TESTING AND CONCLUSION
    5.1 System Testing
    5.2 Conclusion
    5.3 Summary
BIBLIOGRAPHY
ACHIEVEMENTS



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