"The objectives of the book are to apply AI in edge analytics for healthcare applications and to analyze the impact of tools, techniques and security solutions in Edge Analytics for Healthcare"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board and List of Reviewers
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Chapter 1: Virtual Digital Twins
• Chapter 2: Smart Medical Kit in Chronic Kidney Disease Management
• Chapter 3: Application of Machine Learning in Data Analytics on COVID-19 First Wave in India
• Chapter 4: An IoT-Based Sanitation Monitoring System Using Machine Learning for Stagnant Water to Prevent Water-Borne Diseases
• Chapter 5: Relevance of Artificial Intelligence in Modern Healthcare
• Chapter 6: Secured Healthcare Data Analytics on the Cloud Using Blockchain-Based Techniques
• Chapter 7: IoT Security Issues, Challenges, Threats, and Solutions in Healthcare Applications
• Chapter 8: Edge Analytics With Machine Learning Technique for Medical IoT Applications
• Chapter 9: AI-Based IoT Analytics on the Cloud for Diabetic Data Management System
• Chapter 10: Edge Computing for Secured IoT Analytics on the Cloud
• Chapter 11: Automated Early Prediction of Anomalies Due to Diabetes Using Fundus Images
• Chapter 12: Internet of Things-Empowered Next-Generation Healthcare Systems
• Chapter 13: Information Science in the Analytics of Healthcare Data
• Chapter 14: Smart Healthcare IoT Applications Using AI
• Chapter 15: Futuristic Research Perspectives of IoT Platforms
• Compilation of References
• About the Contributors
• Index