• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases

Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases

Paperback

Medical Reference

ISBN10: 0323956866
ISBN13: 9780323956864
Publisher: Elsevier
Published: Jul 9 2024
Pages: 448
Weight: 2.70
Height: 0.91 Width: 8.41 Depth: 10.81
Language: English

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.

Also in

Medical Reference