Paper
17 March 2008 Application of data mining to medical risk management
Shusaku Tsumoto, Kimiko Matsuoka, Shigeki Yokoyama
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shusaku Tsumoto, Kimiko Matsuoka, and Shigeki Yokoyama "Application of data mining to medical risk management", Proc. SPIE 6973, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2008, 697308 (17 March 2008); https://doi.org/10.1117/12.778471
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Mining

Data mining

Bacteria

Blood

Medicine

Data modeling

Surgery

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