Smart Healthcare Analytics: State of the Art

Prasant K. Pattnaik; Ashlesha Vaidya; Suneeta Mohanty; Satarupa Mohanty; Ana Hol

doi:10.1007/978-981-16-5304-9

Smart Healthcare Analytics: State of the Art

Prasant K. Pattnaik
, Ashlesha Vaidya
, Suneeta Mohanty
, Satarupa Mohanty
, Ana Hol

Research output: Book/Research Report › Authored Book

Abstract

This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare 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 discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

Original language	English
Place of Publication	Singapore
Publisher	Springer
Number of pages	220
ISBN (Print)	9789811653032
DOIs	https://doi.org/10.1007/978-981-16-5304-9
Publication status	Published - 2022

Access to Document

10.1007/978-981-16-5304-9

Cite this

@book{2eccb2422444479c8737b23ca72953e6,

title = "Smart Healthcare Analytics: State of the Art",

abstract = "This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare 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 discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.",

author = "Pattnaik, \{Prasant K.\} and Ashlesha Vaidya and Suneeta Mohanty and Satarupa Mohanty and Ana Hol",

year = "2022",

doi = "10.1007/978-981-16-5304-9",

language = "English",

isbn = "9789811653032",

publisher = "Springer",

}

TY - BOOK

T1 - Smart Healthcare Analytics: State of the Art

AU - Pattnaik, Prasant K.

AU - Vaidya, Ashlesha

AU - Mohanty, Suneeta

AU - Mohanty, Satarupa

AU - Hol, Ana

PY - 2022

Y1 - 2022

N2 - This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare 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 discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

AB - This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare 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 discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

UR - https://hdl.handle.net/1959.7/uws:68041

U2 - 10.1007/978-981-16-5304-9

DO - 10.1007/978-981-16-5304-9

M3 - Authored Book

SN - 9789811653032

BT - Smart Healthcare Analytics: State of the Art

PB - Springer

CY - Singapore

ER -

Smart Healthcare Analytics: State of the Art

Abstract

Access to Document

Other files and links

Fingerprint

Cite this