Data Modelling and Analytics for the Internet of Medical Things is popular PDF and ePub book, written by Rajiv Pandey in 2023-12-22, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Data Modelling and Analytics for the Internet of Medical Things can be Read Online from any device for your convenience.
Data Modelling and Analytics for the Internet of Medical Things Book PDF Summary
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.
Detail Book of Data Modelling and Analytics for the Internet of Medical Things PDF
- Author : Rajiv Pandey
- Release : 22 December 2023
- Publisher : CRC Press
- ISBN : 9781003825838
- Genre : Technology & Engineering
- Total Page : 358 pages
- Language : English
- PDF File Size : 21,8 Mb
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