Big Data Analytics in Healthcare (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Big Data, 66
Release date:	October 2020
First published:	2020
Editors:	Anand J. Kulkarni • Patrick Siarry • Pramod Kumar Singh • Ajith Abraham • Mengjie Zhang • Albert Zomaya • Fazle Baki
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	187
Edition:	1st ed. 2020
ISBN-13:	978-3-03-031674-7
Categories:	Books > Business & Economics > Economics > General Books > Medicine > General issues > Health systems & services > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-03-031674-2
Barcode:	9783030316747

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