This edited book aids scholars and practitioners in comprehending e-health, m-healthcare architecture, and the state of the art in IoT countermeasures through the use of IoT. This book covers everything you need to know about a functional framework for IoT-based healthcare systems.
Smart Healthcare Analytics Summary
WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security, and privacy issues in IoT-based healthcare monitoring systems The book explores how to use smart healthcare applications to integrate IoT, big data, and cloud computing to solve a variety of real-time challenges.
Cloud computing provides a shared workspace for IoT and big data in these applications, while big data provides data analytics technologies and IoT provides the data source. It is a reference tool for academic and industrial researchers and practitioners.
About The Author:-
The Royal Adelaide Hospital’s Staff Specialist Geriatrician is Dr. Ashlesha Vaidya, MBBS, FRACP, FAANMS. She has extensive Geriatric Medicine experience, having worked in both hospital and community settings in the public sector over the last decade. A few years ago, she co-edited four volumes for Springer and World Scientific.
Book Release Date
- Publisher : Springer; 1st ed. 2022 edition (October 26, 2021)
- Language : English
- Hardcover : 216 pages
- ISBN-10 : 9811653038
- ISBN-13 : 978-9811653032
- Item Weight : 1.74 pounds
Smart Healthcare Analytics State of the Art Download
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