"This book focuses on using non-invasive biomedical sensor devices, IOT solutions, and knowledge database solutions for pre-screening of diseases so that the risk of disease is reduced, or it can be detected early enough to treat the disease most effectively"--Provided by publisher.

• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• Table of Contents
• Detailed Table of Contents
• Preface
• Acknowledgment
• Chapter 1: Internet-of-Things-Enabled Pre-Screening for Diseases
• Chapter 2: Barriers to Adoptions of IoT-Based Solutions for Disease Screening
• Chapter 3: Early Diagnostics Model for Dengue Disease Using Decision Tree-Based Approaches
• Chapter 4: Innovative Approaches for Pre-Screening and Sensing of Diseases
• Chapter 5: Clinical Decision Support System for Early Disease Detection and Management
• Chapter 6: Impact of Patient Health Education on the Screening for Disease Test-Outcomes
• Chapter 7: Ubiquitous Wearable Healthcare Monitoring System Architectural Design for Prevention, Detection, and Monitoring of Chronic Diseases
• Chapter 8: Fuzzy-Based Predictive Analytics for Early Detection of Diabetes
• Chapter 9: A Fourier-Bessel Expansion-Based Method for Automated Detection of Atrial Fibrillation From Electrocardiogram Signals
• Chapter 10: Applications of Machine Learning in Disease Pre-screening
• Chapter 11: Safety and Regulatory Aspects of Systems for Disease Pre-Screening
• Compilation of References
• About the Contributors
• Index