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Internet of Things and Machine Learning for Type I and Type II Diabetes: Use cases - Softcover

 
9780323956864: Internet of Things and Machine Learning for Type I and Type II Diabetes: Use cases
  • PublisherElsevier
  • Publication date2024
  • ISBN 10 0323956866
  • ISBN 13 9780323956864
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages448
  • EditorDash, Pani, Susilo, Yung Bernard, Tse

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Published by Elsevier, 2024
ISBN 10: 0323956866 ISBN 13: 9780323956864
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Dash, Sujata/ Pani, Subhendu Kumar/ Susilo, Willy/ Yung Bernard, Cheung Man/ Tse, Gary
Published by Elsevier, 2024
ISBN 10: 0323956866 ISBN 13: 9780323956864
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Paperback. Condition: Brand New. 448 pages. 9.21x7.50x10.87 inches. In Stock. Seller Inventory # __0323956866

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Published by Elsevier, 2024
ISBN 10: 0323956866 ISBN 13: 9780323956864
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Published by Elsevier, 2024
ISBN 10: 0323956866 ISBN 13: 9780323956864
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ISBN 10: 0323956866 ISBN 13: 9780323956864
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Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780323956864

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