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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.
Shusaku Tsumoto,Kimiko Matsuoka, andShigeki 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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Shusaku Tsumoto, Kimiko Matsuoka, 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