Cheung Man Yung Bernard & Sujata Dash 
Internet of Things and Machine Learning for Type I and Type II Diabetes [EPUB ebook] 
Use cases

Support

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 Io T, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics. – Integrates many Machine learning techniques in biomedical domain to detect various types of diabetes to utilizing large volumes of available diabetes-related data for extracting knowledge- It integrates data mining and Io T techniques to monitor diabetes patients using their medical records (HER) and administrative data- Includes clinical applications to highlight contemporary use of these machine learning algorithms and artificial intelligence-driven models beyond research settings

€161.44
payment methods
Buy this ebook and get 1 more FREE!
Language English ● Format EPUB ● ISBN 9780323956932 ● Editor Cheung Man Yung Bernard & Sujata Dash ● Publisher Elsevier Science ● Published 2024 ● Downloadable 3 times ● Currency EUR ● ID 9520806 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

46,232 Ebooks in this category