Editors:
- Presents novel as well as modified heuristics and metaheuristics along with its validation by solving complex big data problems associated with healthcare
- Discusses a multifaceted and state-of-the-art literature survey associated with the healthcare data, their modalities, complexities and methodologies along with a complete mathematical formulation
- Provides recent research on big data analytics in healthcare
Part of the book series: Studies in Big Data (SBD, volume 66)
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Table of contents (9 chapters)
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Front Matter
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Challenges, Opportunities, Platforms and Tools of Big Data in Healthcare
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Front Matter
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Mathematical Modeling and Solutions, Big Data Applications, and Platforms
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Front Matter
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About this book
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 societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations.
The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.Editors and Affiliations
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Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India
Anand J. Kulkarni
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Université Paris-Est Créteil Val de Marne, Créteil, France
Patrick Siarry
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ABV-Indian Institute of Information Technology and Management Gwalior, Gwalior, India
Pramod Kumar Singh
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Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, USA
Ajith Abraham
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School of Engineering and Computer Science, Victoria University of Wellington, Kelburn, New Zealand
Mengjie Zhang
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School of Computer Science, University of Sydney, Sydney, Australia
Albert Zomaya
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Odette School of Business, University of Windsor, Windsor, Canada
Fazle Baki
Bibliographic Information
Book Title: Big Data Analytics in Healthcare
Editors: Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-030-31672-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-31671-6Published: 15 October 2019
Softcover ISBN: 978-3-030-31674-7Published: 15 October 2020
eBook ISBN: 978-3-030-31672-3Published: 01 October 2019
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XI, 187
Number of Illustrations: 18 b/w illustrations, 37 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Big Data, Health Care Management