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Fuzzy Expert Systems for Disease Diagnosis

Book Description

The development of fuzzy expert systems has provided new opportunities for problem solving amidst uncertainties. The medical field, in particular, has benefitted tremendously from advancing fuzzy system technologies. Fuzzy Expert Systems for Disease Diagnosis highlights the latest research and developments in fuzzy rule-based methods used in the detection of medical complications and illness. Offering emerging solutions and practical applications, this timely publication is designed for use by researchers, academicians, and students, as well as practitioners in the medical field.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  6. Preface
    1. ORGANIZATION OF CHAPTERS
    2. CONCLUSION
    3. REFERENCES
  7. Acknowledgment
  8. Section 1: Concepts and Approaches
    1. Chapter 1: Emerging Application of Fuzzy Expert System in Medical Domain
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. HISTORY OF EXPERT SYSTEM
      5. FUZZY SETS AND LINGUISTIC VARIABLES
      6. FUZZY RULES
      7. FUZZY EXPERT SYSTEM
      8. HOW TO MAKE A DECISION ON WHICH METHOD TO APPLY?
      9. APPLICATION OF FUZZY EXPERT SYSTEM FOR DISEASE DIAGNOSIS
      10. FUTURE ISSUES
      11. CONCLUSION
      12. REFERENCES
      13. ADDITIONAL READING
      14. KEY TERMS AND DEFINITIONS
    2. Chapter 2: Rule-Based Systems for Medical Diagnosis
      1. ABSTRACT
      2. INTRODUCTION
      3. FUZZY SYSTEMS
      4. COMPONENTS OF RULE BASED SYSTEM
      5. BENEFITS OF RULE BASED SYSTEMS
      6. RULE BASED SYSTEMS WITH FORWARD AND BACKWARD CHAINING
      7. APPLICATION
      8. DESIGNING THE MEDICAL APPLICATION
      9. CONCLUSION
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
    3. Chapter 3: Fuzzy-Based Medical Image Processing
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND OF MEDICAL IMAGE PROCESSING
      4. FUTURE RESEARCH DIRECTIONS
      5. SOFT COMPUTING TECHNIQUES
      6. FUZZY BASED TECHNIQUES
      7. NEURO FUZZY TECHNIQUES
      8. RESULTS
      9. CONCLUSION
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
    4. Chapter 4: Implementation of Fuzzy Technology in Complicated Medical Diagnostics and Further Decision
      1. ABSTRACT
      2. INTRODUCTION
      3. OVERVIEW
      4. FUZZY LOGIC AND FUZZY CONTROL SYSTEM
      5. EARLY FUZZY-SYSTEMS IN APPLIED SCIENCES
      6. FUZZY SETS
      7. RELATED TERMS
      8. APPLYING TRUTH VALUES
      9. LOGICAL ANALYSIS
      10. FUZZY DATABASES
      11. COMPARISON TO PROBABILITY
      12. FUZZY EXPERT SYSTEMS FOR DIAGNOSIS OF URINARY INCONTINENCE
      13. THE RULE-BASED LOGIC
      14. EXPERT SYSTEMS FOR DIAGNOSIS OF PARKINSON'S DISEASE
      15. RULE EDITOR AND THE DEFUZZIFICATION
      16. IMPLEMENTATION OF EXPERT SYSTEM TO DISEASES WITH NEUROLOGICAL SIGNS IN DOMESTIC ANIMALS
      17. APPLICATION OF FUZZY EXPERT SYSTEM FOR PROSTATE CANCER
      18. CONCLUSION
      19. REFERENCES
      20. KEY TERMS AND DEFINITIONS
  9. Section 2: Innovations and Technologies
    1. Chapter 5: Hybrid Approach for Analyzing Acute Spots of Clinical Speech Data Using Fuzzy Inference System
      1. ABSTRACT
      2. INTRODUCTION
      3. SPEECH THERAPY
      4. ALTERNATIVE TREATMENTS
      5. ANALYZING THE CLINICAL DATA
      6. FEATURE EXTRACTION USING MFCC
      7. DISCRIMINANT ANALYSIS (DA)
      8. IDENTIFYING THE ACUTE SPOTS
      9. A CASE STUDY
      10. FUTURE ISSUES
      11. CONCLUSION
      12. REFERENCES
      13. ADDITIONAL READING
      14. KEY TERMS AND DEFINITIONS
    2. Chapter 6: Knowledge Representation Using Fuzzy XML Rules in Web-Based Expert System for Medical Diagnosis
      1. ABSTRACT
      2. INTRODUCTION
      3. SGML AND XML AS TOOLS FOR WEB INFORMATION REPRESENTATION
      4. LITERATURE SURVEY: WORK DONE IN THE FIELD OF XML
      5. FUZZY XML
      6. INCORPORATION OF FUZZY LOGIC IN XML
      7. APPLICATION
      8. USER INTERFACE
      9. CONCLUSION AND FUTURE WORK
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
    3. Chapter 7: Fuzzy Logic for Breast Cancer Diagnosis Using Medical Thermogram Images
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THERMAL RADIATION THEORY
      5. PREPARATION OF PATIENT
      6. MAIN FOCUS OF THE CHAPTER
      7. FUZZY LOGIC TOOLBOX
      8. EXPERIMENTS
      9. SOLUTIONS AND RECOMMENDATIONS
      10. FUTURE RESEARCH DIRECTIONS
      11. CONCLUSION
      12. REFERENCES
      13. ADDITIONAL READING
      14. KEY TERMS AND DEFINITIONS
    4. Chapter 8: Application of Fuzzy Expert System in Medical Treatment
      1. ABSTRACT
      2. INTRODUCTION
      3. EARLIER RESEARCH
      4. KNOWLEDGE DOMAIN
      5. PREVENTION IS BETTER THAN CURE
      6. FUZZY SETS
      7. LOGICAL OPERATIONS
      8. STEPS FOR DEVELOPING A FUZZY EXPERT SYSTEM
      9. CONCLUSION
      10. REFERENCES
      11. KEY TERMS AND DEFINITIONS
      12. APPENDIX
  10. Section 3: Applications and Cases
    1. Chapter 9: Fuzzy Logic-Based Intelligent Control System for Active Ankle Foot Orthosis
      1. ABSTRACT
      2. INTRODUCTION
      3. GENERAL ANALYSIS
      4. BACKGROUND
      5. THEORY AND METHODS
      6. CONTROLLER DESIGN FOR ACTIVE AFO
      7. SOLUTIONS AND RECOMMENDATIONS
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
      10. ACKNOWLEDGMENT
      11. REFERENCES
      12. ADDITIONAL READING
      13. KEY TERMS AND DEFINITIONS
    2. Chapter 10: Fuzzy Expert System to Diagnose Diabetes Using S Weights for S Fuzzy Assessment Methodology
      1. ABSTRACT
      2. INTRODUCTION
      3. UNCERTAINTY
      4. DESIGN OF FUZZY EXPERT SYSTEM
      5. EXPERIMENTAL RESULTS
      6. PERFORMANCE ASSESSMENT
      7. FUTURE ISSUES
      8. CONCLUSION AND FUTURE RESEARCH
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
    3. Chapter 11: Developing and Validating Fuzzy-Based Trust Measures for Online Medical Diagnosis and Symptoms Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. CHALLENGES/TASKS FOR ONLINE MEDICAL DIAGNOSIS
      5. TRUST
      6. SOLUTIONS AND RECOMMENDATIONS
      7. EXPLORING FUZZY LOGIC APPROACH FOR MEASURING TRUST
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
    4. Chapter 12: Diagnosis of Angina Using Neuro-Fuzzy Technique
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. BACKGROUND OF ANGINA
      4. 3. MAIN FOCUS OF THE CHAPTER
      5. 4. FUTURE RESEARCH DIRECTIONS
      6. 5. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
  11. Compilation of References
  12. About the Contributors