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

Synopsis

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.

Copyright:

2024

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781040031902

Related ISBNs:

9781040031858, 9781032487373, 9781003391456

Publisher:

CRC Press

Date of Addition:

06/10/24

Copyrighted By:

selection and editorial matter, Prasenjit Dey, Sudip Kumar Adhikari, Sourav De and Indrajit Kar

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Prasenjit Dey

Edited by:

Sudip Kumar Adhikari

Edited by:

Sourav De

Edited by:

Indrajit Kar