The emergence of the Internet of Medical Things (Io MT) 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 Io MT in one place, providing readers with a comprehensive grasp of Io MT and related technologies.Data Modelling and Analytics for the Internet of Medical Things integrates the architectural, conceptual, and technological aspects of Io MT, discussing in detail the Io MT, 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 Io MT case studies and applications are also discussed.This book is suitable for scientists, design engineers, system integrators, and researchers in the field of Io MT. It will also be of interest to postgraduate students in computer science focusing on healthcare applications and a supplementary reading for Io MT courses.
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