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Internet of Things and Machine Learning for Type I and Type II Diabetes

Use cases

1st Edition - June 1, 2024

Editors: Sujata Dash, Subhendu Kumar Pani, Willy Susilo, Cheung Man Yung Bernard, Gary Tse

Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 5 6 8 6 - 4
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 5 6 9 3 - 2

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… Read more

Internet of Things and Machine Learning for Type I and Type II Diabetes

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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 community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this important and evolving area. Coverage includes IoT, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics.