Practical Artificial Intelligence for Internet of Medical Things (Paperback)

Ben Othman Soufiene

ISBN 10: 1032325283 / ISBN 13: 9781032325286

Verlag: Taylor & Francis Ltd, London, 2024

Beschreibung

Paperback. This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.Features:Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare servicesDiscusses artificial intelligence applications, experiments, core concepts, and cutting-edge themesDemonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of lifeIntroduces fundamental concepts for designing the Internet of Healthcare Things solutionsIncludes pertinent case studies and applicationsThis book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781032325286

Bibliografische Details

Titel: Practical Artificial Intelligence for ...

Verlag: Taylor & Francis Ltd, London

Erscheinungsdatum: 2024

Einband: Paperback

Zustand: new

Über diesen Titel

Inhaltsangabe:

This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.

Über die Autorin bzw. den Autor:

Ben Othman Soufiene is an Assistant Professor of computer science at the University of Gabes, Tunisia from 2016 to 2021. He received his Ph.D. degree in computer science from Manouba University in 2016 for his dissertation on "Secure data aggregation in wireless sensor networks. He also holds M.S. degrees from the Monastir University in 2012. His research interests focus on the Internet of Medical Things, Wireless Body Sensor Networks, Wireless Networks, Artificial Intelligence, Machine Learning and Big Data.

Chinmay Chakraborty is an Assistant Professor in the Department of Electronics and Communication Engineering, BIT Mesra, India, and a Post-doctoral fellow of Federal University of Piauí, Brazil. His primary areas of research include Wireless body area network, Internet of Medical Things, point-of-care diagnosis, mHealth/e-health, and medical imaging. Dr. Chakraborty is co-editing many books on Smart IoMT, Healthcare Technology and Sensor Data Analytics with CRC Press, IET, Pan Stanford and Springer. Dr. Chakraborty has published more than 150 papers at reputed international journals, conferences, book chapters, more than 30 books and more than 20 special issues. He received a Young Research Excellence Award, Global Peer Review Award, Young Faculty Award and Outstanding Researcher Award.

Faris A. Almalki is an assistant professor in wireless communications and drones at Computer Engineering Dep. at Taif University, a research fellow in the Dep. of Electronic and Computer Engineering at Brunel University London. He holds a BSc in Computer Engineering from Taif University, an MSc in Broadband and Mobile Communication Networks from Kent University and a PhD in Wireless Communication Networks from Brunel University London. He is a Member of the IEEE Communication Society.