Empirical study on application of machine learning techniques for resource allocation in health care using KPI-Reference-Cited by-同舟云学术

Empirical study on application of machine learning techniques for resource allocation in health care using KPI

Published:2018-07-12 Issue:4 Volume:76 Page:2266-2274
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Skylakha S.,Sakthivel P.,Arunselvan K. S.

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-018-2480-9.pdf

Reference12 articles.

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2. Beaglehole R, Bontia R (2004) Public health at the cross road achievements and prospects. Cambridge University Press, Cambridge, pp 34–36

3. Wager KA, Lee FW, Glaser JP (2005) Managing health care information systems: a practical approach for health care executives. Wiley, New York

4. LexisNexis (2005) Healthcare clinical analytics. United States, viewed 4 April 2015

5. Taylor J (2010) Transforming healthcare delivery with analytics: improving outcomes and point-of-care decisioning. Decision management solutions, ftp://public.dhe.ibm.com/software/data/swlibrary/infosphere/analyst-reports/Transforming_Healthcare_Delivery.pdf . Retrieved 09 Aug 2015

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