Smart Systems for Disease Prediction: Advancements, Applications and Challenges [Hardcover]

Smart Systems for Disease Prediction: Advancements, Applications and Challenges is a comprehensive book that explores the use of intelligent technologies to predict diseases accurately and efficiently. It covers a wide range of topics, including image and signal processing, behavioural analysis, and the integration of multimodal data in healthcare. The book examines the application of artificial intelligence, machine learning, and data analytics in creating predictive models for diseases. It also addresses the challenges, ethical considerations, and future directions in the field. This work emphasises the significant impact of intelligent systems on enabling early diagnosis, personalised medicine, and improving patient outcomes.

Preface. Smart Systems in Health Care. Intelligent Techniques for Disease Prediction. Role of Image Processing in Disease Prediction and Early Diagnosis. Role of Signal Processing in Disease Prediction and Early Diagnosis. Impact of Behavioral Analysis in Prediction. Multimodal Approach of Data Processing in Healthcare. Empirical Analysis of AI-enabled Techniques in Modern Healthcare. Tools and Techniques for Disease Prediction. Applications of Smart Systems for Disease Prediction. Challenges and Future Directions with AI in Healthcare. Index. About the Authors.

This is a comprehensive book that explores the use of intelligent technologies to predict diseases accurately and efficiently. It covers a wide range of topics, including image and signal processing, behavioural analysis, and the integration of multimodal data in healthcare.?

S. Vijayalakshmi

Dr. S. Vijayalakshmi is an Associate Professor in the School of Sciences, at Christ University, Pune Lavasa Campus, where she serves in multiple academic portfolios. Her research expertise encompasses Image Processing and Internet of Things (IoT), areas in whil3.