About the book

Chapters in this book

1. Frontmatter I
2. About the book V
3. Preface VII
4. Foreword IX
5. Contents XI
6. List of contributors XV
7. Chapter 1 The impact of blockchain technology on the healthcare system 1
8. Chapter 2 The role of metaverse in transforming healthcare: blockchain approach 33
9. Chapter 3 Blockchain-empowered metaverse healthcare systems and applications 61
10. Chapter 4 Role of artificial intelligence in disease diagnosis 89
11. Chapter 5 Machine learning for twinning the human body 105
12. Chapter 6 Improving patient care and healthcare management using bigdata analytics presents several research challenges 131
13. Chapter 7 An emerging trends of bioinformatics and big data analytics in healthcare 159
14. Chapter 8 Digital twins in medicine: leveraging machine learning for real-time diagnosis and treatment 189
15. Chapter 9 Nanorobots in healthcare 209
16. Chapter 10 Semantic-based approach for medical cyber-physical system (MCPS) with biometric authentication for secured privacy 237
17. Chapter 11 Integration of cognitive computing and AI for smart healthcare 267
18. Chapter 12 An overview of recommender systems in the healthcare domain: significant contributions, challenges, and future scope 293
19. Chapter 13 Advancements and challenges of using natural language processing in the healthcare sector 317
20. Chapter 14 Intraocular pressure monitoring system for glaucoma patients using IoT and machine learning 343
21. Chapter 15 A machine learning approach to voice analysis in Parkinson’s disease diagnosis 365
22. Index 375