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"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.
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- 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
