With the development of advanced screening procedures and techniques, certain limitations of the existing screening processes for disease methodologies and paradigms have been noted. More accurate and less invasive screening methods are needed to diagnose and treat health disorders and diseases before symptoms appear. Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention is a pivotal reference source that utilizes advanced ICT techniques to solve problems in health data collection, analysis, and interpretation, as well as improve existing health systems for the advanced screening of diseases. Using non-invasive biomedical sensor devices and internet of things technology, this book examines safer methods to accelerate disease detection and effectively treat patients while challenging previously used pre-screening processes. While highlighting topics such as the applications of machine learning, patient safety, diagnostics models, and condition management, this publication is ideally designed for healthcare specialists, researchers in health informatics, industry practitioners, and academics.
Author(s): Thierry Edoh, Pravin Pawat, Sagar Mohammad
Series: Advances in Medical Diagnosis, Treatment, and Care (AMDTC)
Publisher: Medical Information Science Reference
Year: 2018
Language: English
Pages: 315
City: Hershey
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
