Big data analytics in healthcare / Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki, editors.
2020
QA76.9.B45
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Details
Title
Big data analytics in healthcare / Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki, editors.
ISBN
9783030316723 (electronic book)
3030316726 (electronic book)
9783030316716
3030316718
3030316726 (electronic book)
9783030316716
3030316718
Publication Details
Cham : Springer, ©2020.
Language
English
Description
1 online resource (193 pages)
Call Number
QA76.9.B45
Dewey Decimal Classification
005.7
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Kulkarni, Anand Jayant.
Siarry, Patrick.
Singh, Pramod Kumar.
Abraham, Ajith, 1968-
Zhang, Mengjie.
Zomaya, Albert Y.
Baki, Fazle.
Siarry, Patrick.
Singh, Pramod Kumar.
Abraham, Ajith, 1968-
Zhang, Mengjie.
Zomaya, Albert Y.
Baki, Fazle.
Series
Studies in big data ; v. 66.
Available in Other Form
Big Data Analytics in Healthcare.
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