Lingua: Inglese
Editore: Medical Info Science Reference, 2018
ISBN 10: 1522552227 ISBN 13: 9781522552222
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Lingua: Inglese
Editore: Medical Information Science Reference, 2017
ISBN 10: 1522552227 ISBN 13: 9781522552222
Da: moluna, Greven, Germania
EUR 263,44
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnBecause of the increased access to high-speed Internet and smart phones, many patients have started to use mobile applications to manage various health needs. These devices and mobile apps are now increasingly used and integrated .
Lingua: Inglese
Editore: Medical Information Science Reference, 2017
ISBN 10: 1522552227 ISBN 13: 9781522552222
Da: preigu, Osnabrück, Germania
EUR 273,05
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Aggiungi al carrelloBuch. Condizione: Neu. Big Data Management and the Internet of Things for Improved Health Systems | Brojo Kishore Mishra (u. a.) | Buch | Gebunden | Englisch | 2017 | Medical Information Science Reference | EAN 9781522552222 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Medical Information Science Reference, 2018
ISBN 10: 1522552227 ISBN 13: 9781522552222
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 328,30
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Because of the increased access to high-speed Internet and smart phones, many patients have started to use mobile applications to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (IoT). Big Data Management and the Internet of Things for Improved Health Systems is a critical scholarly resource that examines the digital transformation of healthcare. Featuring coverage on a broad range of topics, such as brain computer interface, data reduction techniques, and risk factors, this book is geared towards academicians, practitioners, researchers, and students seeking research on health and well-being data.