Data Modelling and Analytics for the Internet of Medical Things

Rajiv Pandey editor Raymond Chiong editor Pratibha Maurya editor

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:22nd Dec '23

Currently unavailable, and unfortunately no date known when it will be back

Data Modelling and Analytics for the Internet of Medical Things cover

The emergence of the Internet of Medical Things (IoMT) is transforming the management of diseases, improving diseases diagnosis and treatment methods, and reducing healthcare costs and errors. This book covers all the essential aspects of IoMT in one place, providing readers with a comprehensive grasp of IoMT and related technologies.

Data Modelling and Analytics for the Internet of Medical Things integrates the architectural, conceptual, and technological aspects of IoMT, discussing in detail the IoMT, connected smart medical devices, and their applications to improve health outcomes. It explores various methodologies and solutions for medical data analytics in healthcare systems using machine learning and deep learning approaches, as well as exploring how technologies such as blockchain and cloud computing can further enhance data analytics in the e-health domain. Prevalent IoMT case studies and applications are also discussed.

This book is suitable for scientists, design engineers, system integrators, and researchers in the field of IoMT. It will also be of interest to postgraduate students in computer science focusing on healthcare applications and a supplementary reading for IoMT courses.

ISBN: 9781032414232

Dimensions: unknown

Weight: 770g

306 pages