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Internet of Things and ­Machine Learning for Type ­I and Type II Diabetes
Use cases
By Sujata Dash (Edited by), Subhendu Kumar Pani (Edited by), Willy Susilo (Edited by), Cheung Man Yung Bernard (Edited by)

Rating
Format
Paperback, 448 pages
Published
9 July 2024

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.


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Product Description

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.

Product Details
EAN
9780323956864
ISBN
0323956866
Dimensions
27.6 x 21.6 centimeters (0.45 kg)
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