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Proceedings Paper

Application of data mining to medical risk management
Author(s): Shusaku Tsumoto; Kimiko Matsuoka; Shigeki Yokoyama
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Paper Abstract

This paper proposes an application of data mining to medical risk management, where data mining techniques were applied to detection, analysis and evaluation of risks potentially existing in clinical environments. We applied this technique to the following two medical domains: risk aversion of nurse incidents and infection control. The results show that data mining methods were effective to detection and aversion of risk factors.

Paper Details

Date Published: 17 March 2008
PDF: 12 pages
Proc. SPIE 6973, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008, 697308 (17 March 2008); doi: 10.1117/12.778471
Show Author Affiliations
Shusaku Tsumoto, Shimane Univ. (Japan)
Kimiko Matsuoka, Osaka Prefectural General Hospital (Japan)
Shigeki Yokoyama, Koden Industry (Japan)


Published in SPIE Proceedings Vol. 6973:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008
William J. Tolone; William Ribarsky, Editor(s)

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