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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
Corporate Author: ScienceDirect (Online service)
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.
Electronic books.
Online Access:Connect to the full text of this electronic book

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