Published by Medical Info Science Reference, 2020
ISBN 10: 1799821013 ISBN 13: 9781799821014
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Medical Information Science Reference, 2020
ISBN 10: 1799821013 ISBN 13: 9781799821014
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. The book highlights a range of topics, including cognitive computing, natural language processing, and su.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
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Add to basketHRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Published by Medical Information Science Reference, 2020
ISBN 10: 1799821013 ISBN 13: 9781799821014
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.