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Table of Contents
Chapter 1. Methods for the recognition of multisource data in intelligent medicine: A review and next generation trends
Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities
Chapter 3. Examination of Health Data Performance Depending on the Creative Use of Optimization Methods and Machine Learning Algorithms
Chapter 4. Effect of computation and cognitive bias in healthcare intelligence and pharmacogenomics
Chapter 5. Application of Genetic Algorithms in Healthcare: A Review
Chapter 6. Decision-Making in Healthcare Nano-informatics
Chapter 7. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security
Chapter 8. IoMT in healthcare industry Concepts and Applications
Chapter 9. The Effect of Heuristic Methods Towards Performance of Health Data Analysis
Chapter 10. AI for Stress Diagnosis at Home Environment
Chapter 11. Contemporary Technologies to Combat Pandemics and Epidemics
Chapter 12. Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities
Chapter 13. Deep Reinforcement Based Conversational AI Agent in Healthcare System
Chapter 14. Deep Learning Empowered Fight against COVID-19: A Survey
Chapter 15. Application of GAN in Guided Imagery Therapy
Chapter 16. Digital Transformation in Healthcare Industry: A Survey
Chapter 17. Application of Deep Learning in Mental Disorder: Challenges and Opportunities.
Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities
Chapter 3. Examination of Health Data Performance Depending on the Creative Use of Optimization Methods and Machine Learning Algorithms
Chapter 4. Effect of computation and cognitive bias in healthcare intelligence and pharmacogenomics
Chapter 5. Application of Genetic Algorithms in Healthcare: A Review
Chapter 6. Decision-Making in Healthcare Nano-informatics
Chapter 7. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security
Chapter 8. IoMT in healthcare industry Concepts and Applications
Chapter 9. The Effect of Heuristic Methods Towards Performance of Health Data Analysis
Chapter 10. AI for Stress Diagnosis at Home Environment
Chapter 11. Contemporary Technologies to Combat Pandemics and Epidemics
Chapter 12. Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities
Chapter 13. Deep Reinforcement Based Conversational AI Agent in Healthcare System
Chapter 14. Deep Learning Empowered Fight against COVID-19: A Survey
Chapter 15. Application of GAN in Guided Imagery Therapy
Chapter 16. Digital Transformation in Healthcare Industry: A Survey
Chapter 17. Application of Deep Learning in Mental Disorder: Challenges and Opportunities.