Risk Mining in Medicine: Application of Data Mining to Medical Risk Management

• Autorzy: Tsumoto S. , Hirano S.
• Języki publikacji: EN

Abstrakty

EN

This paper proposes an application of data mining to medical risk management, where data mining techniques are 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.

Słowa kluczowe

EN

risk mining; risk management; data mining; hospital management

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2010
• Tom: Vol. 98, nr 1
• Strony: 107--121
• Opis fizyczny: Bibliogr. 4 poz., tab.

Twórcy

autor

Tsumoto S.

autor

Hirano S.

• Department of Medical Informatics, Shimane University, School of Medicine 89-1 Enya-cho, Izumo, Shimane 693-8501, Japan,

Bibliografia

• [1] Ansell, J., Wharton, F., Eds.: Risk: Analysis, Assessment and Management, John Wiley & Sons, New York, 1992.
• [2] Quinlan, J.: C4.5 - Programs for Machine Learning, Morgan Kaufmann, Palo Alto, 1993.
• [3] Tsumoto, S.: Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic, Information Sciences, (124), 2000, 125-137.
• [4] Tsumoto, S.: G5: Data mining in medicine, in: Handbook of Data Mining and Knowledge Discovery (W. Kloesgen, J. Zytkow, Eds.), Oxford University Press, Oxford, 2001, 798-807.