國立虎尾科技大學 |

Big data analytics for intelligent healthcare management

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big data analytics for intelligent healthcare management/ volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera.
other author:	Dey, Nilanjan,
Published:	London ;Academic Press, : 2019.,
Description:	1 online resource (xix, 292 p.) :ill. :
Subject:	Big data. -
Online resource:	https://www.sciencedirect.com/science/book/9780128181461
ISBN:	9780128181478 (electronic bk.)

Big data analytics for intelligent healthcare management
Big data analytics for intelligent healthcare management[electronic resource] /volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera. - 1st ed. - London ;Academic Press,2019. - 1 online resource (xix, 292 p.) :ill. - Advances in ubiquitous sensing applications for healthcare ;volume three. - Advances in ubiquitous sensing applications for healthcare ;v. 5..

Includes bibliographical references and index.

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/ forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more.

ISBN: 9780128181478 (electronic bk.)Subjects--Topical Terms:

981821
Big data.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: R859.7.D35

Dewey Class. No.: 004

Big data analytics for intelligent healthcare management
LDR:02000cam a2200253 a 4500 001 1066816
006 m o d
007 cr |n|||||||||
008 221013s2019 enka ob 001 0 eng d
020 $a 9780128181478 (electronic bk.)
020 $a 9780128181461
035 $a (OCoLC)1124929463
035 $a 1124929463
040 $a UMI $b eng $c UMI $d OCLCF $d VLY $d OCLCO $d DST
041 0 $a eng
050 4 $a R859.7.D35
082 0 4 $a 004 $2 23
245 0 0 $a Big data analytics for intelligent healthcare management $h [electronic resource] / $c volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera.
250 $a 1st ed.
260 $a London ; $a San Diego, CA : $b Academic Press, $c 2019.
300 $a 1 online resource (xix, 292 p.) : $b ill.
490 1 $a Advances in ubiquitous sensing applications for healthcare ; $v volume three
504 $a Includes bibliographical references and index.
520 $a Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/ forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more.
650 0 $a Big data. $3 981821
650 0 $a Data mining. $3 528622
650 0 $a Medical informatics. $3 583858
650 0 $a Medical care $x Data processing. $3 565113
650 0 $a Machine learning. $3 561253
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Dey, Nilanjan, $d 1984- $e author. $3 1087003
700 1 $a Das, Himansu, $e editor. $3 1372018
700 1 $a Naik, Bighnaraj, $e editor. $3 1371995
700 1 $a Behera, Himansu Sekhar, $e editor. $3 1372019
830 0 $a Advances in ubiquitous sensing applications for healthcare ; $v v. 5. $3 1343396
856 4 0 $u https://www.sciencedirect.com/science/book/9780128181461