Internet of Things and machine learning for type I and type II diabetes : use cases /

Provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research...

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Bibliographic Details

Other Authors:	Dash, Sujata, 1964- (Editor), Pani, Subhendu Kumar, 1980- (Editor), Susilo, Willy (Editor), Tse, Gary M. (Editor), Cheung, Bernard Man Yung (Editor)
Format:	eBook
Language:	English
Published:	London ; San Diego, CA : Academic Press, [2024]
Subjects:	Diabetes > Technological innovations. Artificial intelligence > Medical applications. Machine learning. Internet of things. Machine Learning Apprentissage automatique. Internet des objets. Diabète > Innovations. Artificial intelligence > Medical applications Internet of things Machine learning
Online Access:	ScienceDirect
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