Overview
- Includes case studies of smart healthcare applications, such as telemedicine and health management applications
- Presents the latest research
- Addresses various Internet of Things (IoT) applications combined with big- data analysis
Part of the book series: Studies in Big Data (SBD, volume 23)
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Table of contents (15 chapters)
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Front Matter
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IoT Based Healthcare
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Front Matter
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Keywords
About this book
This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics.
Addressing trust, privacy, andsecurity issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
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Editors and Affiliations
Bibliographic Information
Book Title: Internet of Things and Big Data Technologies for Next Generation Healthcare
Editors: Chintan Bhatt, Nilanjan Dey, Amira S. Ashour
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-49736-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-49735-8Published: 09 January 2017
Softcover ISBN: 978-3-319-84228-8Published: 07 July 2018
eBook ISBN: 978-3-319-49736-5Published: 01 January 2017
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: X, 388
Number of Illustrations: 159 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Health Informatics, Biomedical Engineering and Bioengineering, Practice and Hospital Management