Artificial Intelligence in Healthcare for the Elderly

Sharma, Sandeep (Edited by)/ Nagrath, Preeti (Edited by)/ Singla, Bhawna (Edited by)/ Rodrigues, Joel J. P. C. (Edited by)

ISBN 10: 1394275366 / ISBN 13: 9781394275366

Edité par John Wiley & Sons, 2025

A propos de cet article

352 pages. In Stock.

N° de réf. du vendeur __1394275366

Détails bibliographiques

• Titre: Artificial Intelligence in Healthcare for the Elderly
• Éditeur: John Wiley & Sons
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 1394275366
• ISBN à 13 chiffres: 9781394275366
• Reliure: Hardcover
• État de l'article: Brand New
• Poids: 0,79 kilogramme

A propos de ce titre

Synopsis

Artificial Intelligence in Healthcare for the Elderly provides valuable insights into how artificial intelligence can transform healthcare through personalized monitoring, ethical considerations, and real-world applications.

Artificial intelligence has the potential to revolutionize healthcare for the elderly by providing efficient and personalized monitoring and care. Though this technology has the potential to revolutionize care, there is currently little information on the potential of this technology in elderly healthcare. Artificial Intelligence in Healthcare for the Elderly explores AI algorithms that can transform health monitoring for older adults by analyzing data from wearable devices, electronic health records, and other sources that provide real-time data analysis, detect early warning signs of diseases, and offer personalized treatment. This book addresses the critical ethical, societal, and practical aspects of elderly care that are often overlooked with insights from various disciplines, including healthcare, technology, ethics, and sociology, to offer a holistic perspective on AI’s impact on aging. Artificial Intelligence in Healthcare for the Elderly offers an all-encompassing perspective on AI technologies employed in elderly healthcare by examining the specific types of technology used and delineating its role in elderly healthcare, drawing insights from existing research and case studies.

À propos de l?auteur

Sandeep Sharma, PhD is an assistant professor in Bharati Vidyapeeth's College of Engineering. He has published more than 15 research papers in reputed journals and one patent. His main area of focus is the use of heuristic techniques for finding the optimal parameters of FACTS devices in power systems.

Preeti Nagrath, PhD is an associate professor in Bharati Vidyapeeth's College of Engineering with more than 20 years of academic experience. She has published over 80 research papers in international journals and international conferences, four books, and two patents. His research interests include network security, delay-tolerant networks, machine learning, and deep learning.

Bhawna Singla, PhD is a professor in the Computer Science and Engineering Department at the Panipat Institute of Engineering and Technology. She has published two edited books, three patents, and 30 research articles in international journals and conferences. His research interests include artificial intelligence, machine learning, data science, and networking

Joel J.P.C. Rodrigues is a professor in the College of Computer Science and Technology at the China University of Petroleum, a senior researcher at the Instituto de Telecomunicações in Portugal, and a collaborator for the post-graduation program on teleinformatics engineering at the Federal University of Ceará in Brazil. He has authored and co-authored over 950 papers in refereed international journals and conferences, three books, and two patents. His research interests include sensor networks, Internet of Things, eHealth, vehicular networks, and cloud computing.