Big Data Analytics in Healthcare (1st ed. 2020) (Studies in Big Data #66)

By: and and and and and and

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Synopsis
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.
Copyright:
2020

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783030316723
Related ISBNs:
9783030316716
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
Springer Nature Switzerland AG
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Technology, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Anand J. Kulkarni
Edited by:
Patrick Siarry
Edited by:
Pramod Kumar Singh
Edited by:
Ajith Abraham
Edited by:
Mengjie Zhang
Edited by:
Albert Zomaya
Edited by:
Fazle Baki

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