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Machine learning and internet of medical things in healthcare /

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Singh, Krishna Kant (Telecommunications professor), Elhoseny, Mohamed (Editor ), Singh, Akansha (Editor ), Elngar, Ahmed A. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, 2021.
Temas:
Acceso en línea:Texto completo

MARC

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020 |a 9780128232170  |q (electronic bk.) 
020 |a 012823217X  |q (electronic bk.) 
020 |a 9780128212295  |q (electronic bk.) 
020 |a 0128212292  |q (electronic bk.) 
035 |a (OCoLC)1246350280 
050 4 |a R855.3 
082 0 4 |a 610.2854678  |2 23 
245 0 0 |a Machine learning and internet of medical things in healthcare /  |c edited by Krishna Kant Singh, Mohamed Elhoseny, Akansha Singh, Ahmed A. Elngar 
264 1 |a London :  |b Academic Press,  |c 2021. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
520 |a Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. 
650 0 |a Medical technology. 
650 0 |a Machine learning. 
650 0 |a Internet of things. 
650 0 |a Artificial intelligence  |x Medical applications. 
650 2 |a Medical Laboratory Science  |0 (DNLM)D013677 
650 2 |a Machine Learning  |0 (DNLM)D000069550 
650 6 |a Technologie m�edicale.  |0 (CaQQLa)201-0017783 
650 6 |a Apprentissage automatique.  |0 (CaQQLa)201-0131435 
650 6 |a Internet des objets.  |0 (CaQQLa)000269177 
650 6 |a Intelligence artificielle en m�edecine.  |0 (CaQQLa)201-0180593 
650 7 |a Artificial intelligence  |x Medical applications  |2 fast  |0 (OCoLC)fst00817267 
650 7 |a Internet of things  |2 fast  |0 (OCoLC)fst01894151 
650 7 |a Machine learning  |2 fast  |0 (OCoLC)fst01004795 
650 7 |a Medical technology  |2 fast  |0 (OCoLC)fst01014742 
700 1 |a Singh, Krishna Kant  |q (Telecommunications professor) 
700 1 |a Elhoseny, Mohamed,  |e editor. 
700 1 |a Singh, Akansha,  |e editor. 
700 1 |a Elngar, Ahmed A.,  |e editor. 
776 0 8 |i Print version:  |z 0128212292  |z 9780128212295  |w (OCoLC)1158481505 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128212295  |z Texto completo