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 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.
| ISBN: | 9780323956864 |
|---|---|
| Sprache: | Englisch |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Cheung Man Yung Bernard Dash Sujata Pani, Subhendu Kumar Susilo Willy Tse, Gary |
| Verlag: | Elsevier |
| Veröffentlicht: | 09.07.2024 |
| Untertitel: | Use cases |
| Schlagworte: | COMPUTERS / Data Science / Machine Learning Diabetes MEDICAL / Endocrinology & Metabolism MEDICAL / Neurology Medicine: Diabetes Neurology & clinical neurophysiology Neurology and clinical neurophysiology machine learning |
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