Internet of things enabled machine learning for biomedical application /
"The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcare systems using the internet of things. The t...
| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton FL :
CRC Press,
2025.
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| Edition: | First edition. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | "The text begins by highlighting the benefits of the internet of things enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and examines security and privacy issues in the healthcare systems using the internet of things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images. This book: Covers the procedure to recognize emotions using image processing and the internet of things-enabled machine learning. Highlights security and privacy issues in the healthcare system using the internet of things. Discusses classification and implementation techniques of image segmentation. Explains different algorithms of machine learning for image processing in a comprehensive manner. Provides computational intelligence on the internet of things for future biomedical applications including lung cancer. It is primarily written for graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering"-- |
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| Physical Description: | 1 online resource (xv, 410 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781003487647 1003487645 9781040097656 1040097650 9781040097663 1040097669 |