Big Data Analytics in Healthcare da Kulkarni, Anand J. (Editor)/ Siarry, Patrick (Editor)/ Singh, Pramod Kumar (Editor)/ Abraham, Ajith (Editor)/ Zhang, Mengjie (Editor): Brand New Paperback (2020)

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200 pages. 9.25x6.10x0.47 inches. In Stock.

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Titolo: Big Data Analytics in Healthcare
Editore: Springer Nature
Data di pubblicazione: 2020
Lingua: Inglese
ISBN 10: 3030316742
ISBN 13: 9783030316747
Rilegatura: Paperback
Condizione: Brand New

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Riassunto

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.

Dalla quarta di copertina

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.

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