Big Data Analytics in Healthcare
This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and soc
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Anand J. Kulkarni · Patrick Siarry · Pramod Kumar Singh · Ajith Abraham · Mengjie Zhang · Albert Zomaya · Fazle Baki Editors
Big Data Analytics in Healthcare
Studies in Big Data Volume 66
Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Big Data” (SBD) publishes new developments and advances in the various areas of Big Data- quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence including neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. ** Indexing: The books of this series are submitted to ISI Web of Science, DBLP, Ulrichs, MathSciNet, Current Mathematical Publications, Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink.
More information about this series at http://www.springer.com/series/11970
Anand J. Kulkarni Patrick Siarry Pramod Kumar Singh Ajith Abraham Mengjie Zhang Albert Zomaya Fazle Baki •
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Editors Anand J. Kulkarni Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune, Maharashtra, India Pramod Kumar Singh ABV-Indian Institute of Information Technology and Management Gwalior Gwalior, Madhya Pradesh, India Mengjie Zhang School of Engineering and Computer Science Victoria University of Wellington Kelburn, New Zealand
Patrick Siarry Université Paris-Est Créteil Val de Marne Créteil, France Ajith Abraham Scientific Network for Innovation and Research Excellence Machine Intelligence Research Labs (MIR Labs) Auburn, WA, USA Albert Zomaya School of Computer Science University of Sydney Sydney, Australia
Fazle Baki Odette School of Business University of Windsor Windsor, ON, Canada
ISSN 2197-6503 ISSN 2197-6511 (electronic) Studies in Big Data ISBN 978-3-030-31671-6 ISBN 978-3-030-31672-3 (eBook) https://doi.org/10.1007/978-3-030-31672-3 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recit
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