Edge-of-Things in Personalized Healthcare Support Systems
Aus der Reihe
Cognitive Data Science in Sustainable Computing
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- Taschenbuch
- eBook ausgewählt
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Form:Einzelkauf Download
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Sprache:Englisch
113,00 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
19.06.2022
Herausgeber
Rajeswari Sridhar + weitereVerlag
Elsevier Science & Techn.Seitenzahl
436 (Printausgabe)
Dateigröße
28375 KB
Sprache
Englisch
EAN
9780323907088
Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices. The book presents research into the identification of specialization and expertise among healthcare professionals, the sharing of records over the cloud, access controls and rights of shared documents, document privacy, as well as edge computing techniques which help to identify causes and develop treatments for human disease. The book aims to advance personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics.
- Provides an in-depth analysis of how to model and design applications for state-of-the-art healthcare systems
- Discusses and explores the social impact of the intertwined use of emerging IT technologies for healthcare
- Covers system design and software building principles for healthcare using IoT, cloud, and edge computing technologies with the support of effective and efficient data analytics strategies
- Explores the latest algorithms using machine and deep learning in the areas of cloud, edge computing, IoT, and healthcare analytics
- Provides an in-depth analysis of how to model and design applications for state-of-the-art healthcare systems
- Discusses and explores the social impact of the intertwined use of emerging IT technologies for healthcare
- Covers system design and software building principles for healthcare using IoT, cloud, and edge computing technologies with the support of effective and efficient data analytics strategies
- Explores the latest algorithms using machine and deep learning in the areas of cloud, edge computing, IoT, and healthcare analytics
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