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Big data analytics in healthcare

Kulkarni, Anand J.

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Big data analytics in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics in healthcare/ edited by Anand J. Kulkarni ... [et al.].
other author:	Kulkarni, Anand J.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	x, 210 p. :ill., digital ;24 cm.
[NT 15003449]:	Big data analytics and its benefits in Health care -- Elements of Healthcare Big Data Analytics -- Big Data in Supply Chain Management and Medicinal Domain -- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries -- Big Data Analytics in Healthcare using Spreadsheets.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-3-030-31672-3
ISBN:	9783030316723

Big data analytics in healthcare
Big data analytics in healthcare[electronic resource] /edited by Anand J. Kulkarni ... [et al.]. - Cham :Springer International Publishing :2020. - x, 210 p. :ill., digital ;24 cm. - Studies in big data,v.662197-6503 ;. - Studies in big data ;v.66..

Big data analytics and its benefits in Health care -- Elements of Healthcare Big Data Analytics -- Big Data in Supply Chain Management and Medicinal Domain -- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries -- Big Data Analytics in Healthcare using Spreadsheets.

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.

ISBN: 9783030316723

Standard No.: 10.1007/978-3-030-31672-3doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data analytics in healthcare
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245 0 0 $a Big data analytics in healthcare $h [electronic resource] / $c edited by Anand J. Kulkarni ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a x, 210 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6503 ; $v v.66
505 0 $a Big data analytics and its benefits in Health care -- Elements of Healthcare Big Data Analytics -- Big Data in Supply Chain Management and Medicinal Domain -- A Review of Big Data and its Applications in Healthcare and Public Sector- Innovative mHealth Solution for Reliable Patient Data Empowering Rural Health Care in Developing Countries -- Big Data Analytics in Healthcare using Spreadsheets.
520 $a 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.
650 0 $a Big data. $3 2045508
650 0 $a Medical informatics. $3 661258
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Big Data. $3 3134868
650 2 4 $a Health Care Management. $3 2054807
700 1 $a Kulkarni, Anand J. $3 3295739
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830 0 $a Studies in big data ; $v v.66. $3 3443984
856 4 0 $u https://doi.org/10.1007/978-3-030-31672-3
950 $a Intelligent Technologies and Robotics (Springer-42732)