國立虎尾科技大學 |

Big data analytics for intelligent healthcare management

紀錄類型:	書目-語言資料,印刷品 : 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:	Behera, Himansu Sekhar,
出版者:	London ;Academic Press, : 2019.,
面頁冊數:	1 online resource (xix, 292 p.) :ill. :
標題:	Machine learning. -
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. 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:

561253
Machine learning.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: R859.7.D35

Dewey Class. No.: 004

Big data analytics for intelligent healthcare management
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300 $a 1 online resource (xix, 292 p.) : $b ill.
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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.
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