Téléchargez le livre : Internet of Things and Machine Learning for Type I and Type II Diabetes

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

Use cases

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Éditeur :

Elsevier


Paru le : 2024-07-07



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Description

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.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 knowledgeIt integrates data mining and IoT techniques to monitor diabetes patients using their medical records (HER) and administrative dataIncludes clinical applications to highlight contemporary use of these machine learning algorithms and artificial intelligence-driven models beyond research settings

Elsevier Science & Technology
Pages
500 pages
Collection
n.c
Parution
2024-07-07
Marque
Elsevier
EAN papier
9780323956864
EAN PDF
9780323956932
Informations sur l'ebook
Nombre pages copiables
50
Nombre pages imprimables
50
Taille du fichier
14961 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
150,86 €
EAN EPUB SANS DRM
9780323956932
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
150,86 €

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