Big Data Analytics in Healthcare

Big Data Analytics in Healthcare

Anand J. Kulkarni, Patrick Siarry, Pramod Kumar Singh, Ajith Abraham, Mengjie Zhang, Albert Zomaya, Fazle Baki
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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.

カテゴリー:
年:
2020
版:
1st ed. 2020
出版社:
Springer International Publishing
言語:
english
ISBN 10:
3030316726
ISBN 13:
9783030316723
シリーズ:
Studies in Big Data 66
ファイル:
PDF, 4.65 MB
IPFS:
CID , CID Blake2b
english, 2020
ダウンロード (pdf, 4.65 MB)
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