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...

Полное описание

Библиографические подробности

Другие авторы:	Dash, Sujata, 1964- (Редактор), Pani, Subhendu Kumar, 1980- (Редактор), Susilo, Willy (Редактор), Tse, Gary M. (Редактор), Cheung, Bernard Man Yung (Редактор)
Формат:	eКнига
Язык:	английский
Опубликовано:	London ; San Diego, CA : Academic Press, [2024]
Предметы:	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-ссылка:	ScienceDirect
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!