"The book is a great reference about the various application and scientific work going on in this area of how AI is driving the Health sector and helping health practitioners to predict disease intensity using the latest technology"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• Table of Contents
• Detailed Table of Contents
• Preface
• Chapter 1: Review of Data Mining Techniques Used in Healthcare
• Chapter 2: Detection of Diabetic Retinopathy With Mobile Application Using Deep Learning
• Chapter 3: Android-Based Skin Cancer Recognition System Using Convolutional Neural Network
• Chapter 4: mHealth
• Chapter 5: Computational Studies in Breast Cancer
• Chapter 6: The Role of Genetic Data Analysis for Precision Therapy in Cancer
• Chapter 7: The Role of E-Health Interventions in Improving Clinical Outcomes and Overall Health for Prostate Cancer Patients
• Chapter 8: Incautious Usage of Social Media
• Chapter 9: Epileptic Seizure Detection Using Machine Learning Techniques
• Chapter 10: Public Health Surveillance System
• Chapter 11: Applications of Nanoparticles in Various Fields
• Chapter 12: Internet of Things (IoT) in Healthcare
• Chapter 13: IoT on Healthcare Using Clinical Decision Support System
• Compilation of References
• About the Contributors
• Index