東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Big data analytics for intelligent h...

Dey, Nilanjan, (1984-)

FindBook

Google Book

Amazon

博客來

Big data analytics for intelligent healthcare management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data analytics for intelligent healthcare management/ volume editors, Nilanjan Dey, Himansu Das, Bighnaraj Naik, Himansu Sekhar Behera.
其他作者:	Dey, Nilanjan,
出版者:	London ;Academic Press, : 2019.,
面頁冊數:	1 online resource (xix, 292 p.) :ill.
標題:	Big data. -
電子資源:	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. 3..

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:

2045508
Big data.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: R859.7.D35

Dewey Class. No.: 004

Big data analytics for intelligent healthcare management
LDR:02000cmm a2200253 a 4500 001 2308325
006 m o d
007 cr |n|||||||||
008 230530s2019 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 2045508
650 0 $a Data mining. $3 562972
650 0 $a Medical informatics. $3 661258
650 0 $a Medical care $x Data processing. $3 661308
650 0 $a Machine learning. $3 533906
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Dey, Nilanjan, $d 1984- $e editor. $3 3231517
700 1 $a Das, Himansu, $e editor. $3 3614666
700 1 $a Naik, Bighnaraj, $e editor. $3 3614638
700 1 $a Behera, Himansu Sekhar, $e editor. $3 3614667
830 0 $a Advances in ubiquitous sensing applications for healthcare ; $v v. 3. $3 3614668
856 4 0 $u https://www.sciencedirect.com/science/book/9780128181461