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...

Fuld beskrivelse

Bibliografiske detaljer

Andre forfattere:	Dash, Sujata, 1964- (Editor), Pani, Subhendu Kumar, 1980- (Editor), Susilo, Willy (Editor), Tse, Gary M. (Editor), Cheung, Bernard Man Yung (Editor)
Format:	eBog
Sprog:	engelsk
Udgivet:	London ; San Diego, CA : Academic Press, [2024]
Fag:	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 adgang:	ScienceDirect
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!