國立高雄大學圖資館 |

Language: English

Back

Big data analytics in healthcare

Kulkarni, Anand J.

Big data analytics in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics in healthcareedited 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.
Contained By:	Springer eBooks
Subject:	Big data.
Online resource:	https://doi.org/10.1007/978-3-030-31672-3
ISBN:	9783030316723$q(electronic bk.)

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.1..

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$q(electronic bk.)

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

609582
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data analytics in healthcare
LDR:02410nmm a2200337 a 4500 001 577733
003 DE-He213
005 20200225100908.0
006 m d
007 cr nn 008maaau
008 201203s2020 sz s 0 eng d
020 $a 9783030316723$q(electronic bk.)
020 $a 9783030316716$q(paper)
024 7 $a 10.1007/978-3-030-31672-3 $2 doi
035 $a 978-3-030-31672-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B45
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 005.7 $2 23
090 $a QA76.9.B45 $b B592 2020
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 609582
650 0 $a Medical informatics. $3 196487
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Big Data. $3 760530
650 2 4 $a Health Care Management. $3 674996
700 1 $a Kulkarni, Anand J. $3 799760
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in big data ; $v v.1. $3 675357
856 4 0 $u https://doi.org/10.1007/978-3-030-31672-3
950 $a Intelligent Technologies and Robotics (Springer-42732)