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Page: 195
 
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  • Title
  • Anti Plagiarism certificate
  • Declaration
  • Certificate
  • Abstract
  • Acknowledgement
  • Contents
  • Abbreviations
  • List of Tables
  • List of Figures
  • CHAPTER 1 INTRODUCTION AND LITERATURE REVIEW
  • CHAPTER 2 RESEARCH METHODOLOGY
  • CHAPTER 3 MODELING AND FORECASTING TUBERCULOSIS CASES USING MACHINE LEARNING AND DEEP LEARNING APPROACHES: A COMPARATIVE STUDY
  • CHAPTER 4 EFFICIENT MACHINE LEARNING TECHNIQUES FOR EARLY PREDICTION OF TUBERCULOSIS BASED ON CLINICAL DATA
  • CHAPTER 5 COVID-19 INFECTION PREDICTION USING EFFICIENT MACHINE LEARNING TECHNIQUES BASED ON CLINICAL DATA
  • CHAPTER 6 EFFICIENT ENSEMBLE MACHINE LEARNING TECHNIQUES FOR EARLY PREDICTION OF DENGUE AND DIPHTHERIA DISEASES BASED ON CLINICAL DATA
  • CHAPTER 7 CONCLUSION AND FUTURE WORK
  • BIBLIOGRAPHY