Soft Computing Techniques in Connected Healthcare Systems

This book provides examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques. Soft Computing Techniques to Enhance Services in Connected Healthcare Systems, presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. The authors examine how connected healthcare is the essence of combining a practical operative procedure of interconnectedness of electronic health records, mHealth, clinical informatics, electronic data exchange, practice management solutions, and pharmacy management. The book focuses on different soft computing techniques like fuzzy logic, ANN, GA which will enhance services in connected health systems like remotely diagnosis and monitoring, medication monitoring devices, identifying and treating the underlying causes of disorders and diseases, improved access to specialist and lower healthcare costs. The chapters also examine descriptive, predictive, and social network techniques and discuss analytical tools and the important role they play in enhancing the services to connected healthcare systems. Finally, the authors address real-time challenges with real-world case studies to enhance the comprehension of topics. This book is intended for under graduate, and graduate students, researchers and practicing professionals in the field of connected healthcare. It provides an overview for beginners while also addressing professionals in the industry on the importance of soft computing approaches in connected healthcare systems.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Biomedical and Robotics Healthcare
Release date:	December 2023
First published:	2024
Editors:	Mool Chand Sharma • Suman Deswal • Umesh Gupta • Mujahid Tabassum • Isah Lawal
Dimensions:	234 x 156mm (L x W)
Pages:	324
ISBN-13:	978-1-03-251347-8
Categories:	Books
LSN:	1-03-251347-0
Barcode:	9781032513478

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