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

Issue title: Intelligent Data Analysis in Granular Computing

Article type: Research Article

Authors: Tsumoto, Shusaku | Hirano, Shoji

Affiliations: Department of Medical Informatics, Shimane University, School of Medicine, 89-1 Enya-cho, Izumo, Shimane 693-8501, Japan. E-mail: tsumoto@computer.org, hirano@ieee.org

Abstract: 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.

Keywords: Risk Mining, Risk Management, Data Mining, Hospital Management

DOI: 10.3233/FI-2010-219

Journal: Fundamenta Informaticae, vol. 98, no. 1, pp. 107-121, 2010