Internet of Things-Based Machine Learning in Healthcare: Technology and Applications - Image 1

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Chapman and Hall/CRC Internet of Things-Based Machine Learning in Healthcare: Technology and Applications

Name: Internet of Things-Based Machine Learning in Healthcare: Technology and Applications
Brand: Chapman and Hall/CRC
Price: 52.5 GBP
Availability: InStock

Architecture & Microprocessors

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Description

The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services Discusses unsupervised genetic algorithm-based automatic heart disease prediction Covers Internet of Things–based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.

Product Specifications

Brand: Chapman and Hall/CRC
Format: paperback
ASIN: 1032489286
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 21 May 2026
Listed Since: 27 March 2026

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Chapman and Hall/CRC Internet of Things-Based Machine Learning in Healthcare: Technology and Applications

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