Tele-Healthcare: Applications of Artificial Intelligence and Soft Computing Techniques (Artificial Intelligence and Soft Computing for Industrial Transformation)

ISBN 10: 1119841763 / ISBN 13: 9781119841760

Published by Wiley-Scrivener, 2022

About this Item

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Bibliographic Details

• Title: Tele-Healthcare: Applications of Artificial Intelligence and Soft Computing Techniques (Artificial Intelligence and Soft Computing for Industrial Transformation)
• Publisher: Wiley-Scrivener
• Publication Date: 2022
• Language: English
• ISBN 10: 1119841763
• ISBN 13: 9781119841760
• Binding: hardcover
• Condition: Good

About this title

Synopsis

TELE-HEALTHCARE

This book elucidates all aspects of tele-healthcare which is the application of AI, soft computing, digital information, and communication technologies, to provide services remotely and manage one’s healthcare.

Throughout the world, there are huge developing crises with respect to healthcare workforce shortages, as well as a growing burden of chronic diseases. As a result, e-health has become one of the fastest-growing service areas in the medical sector. E-health supports and ensures the availability of proper healthcare, public health, and health education services at a distance and in remote places. For the sector to grow and meet the need of the marketplace, e-health applications have become one of the fastest growing areas of research. However, to grow at a larger scale requires the following:

1. The availability of user cases for the exact identification of problems that need to be visualized.
2. A well-supported market that can promote and adopt the e-health care concept.
3. Development of cost-effectiveness applications and technologies for successful implementation of e-health at a larger scale.

This book mainly focuses on these three points for the development and implementation of e-health services globally.

In this book the reader will find:

• Details of the challenges in promoting and implementing the telehealth industry.
• How to expand a globalized agenda of personalized telehealth in integrative medical treatment for disease diagnosis and its industrial transformation.
• How to design machine learning techniques for improving the tele-healthcare system.

Audience

Researchers and post-graduate students in biomedical engineering, artificial intelligence, and information technology; medical doctors and practitioners and industry experts in the healthcare sector; healthcare sector network administrators.

About the Author

R. Nidhya, PhD, is an assistant professor in the Department of Computer Science & Engineering, Madanapalle Institute of Technology & Science, affiliated to Jawaharlal Nehru Technical University, Anantapuram, India. She has published many research articles in SCI journals and her research interests include wireless body area networks, network security, and data mining.

Manish Kumar, PhD, is an assistant professor in the School of Computer Science & Engineering, VIT Chennai. His research interests include soft computing applications for bioinformatics problems and computational intelligence.

S. Balamurugan, PhD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.