Skip to main content

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

Use cases

  • 1st Edition - July 15, 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

Purchase options

Limited Offer

Save 50% on book bundles

Immediately download your ebook while waiting for your print delivery. No promo code is needed.

Book bundle cover eBook and print

Institutional subscription on ScienceDirect

Request a sales quote

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.