Efficient discovery of risk patterns in medical data

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ObjectiveThis paper studies a problem of efficiently discovering risk patterns in medical data. Risk patterns are defined by a statistical metric, relative risk, which has been widely used in epidemiological research.

论文关键词:Relative risk,Risk pattern,Data mining,Association rule,Decision tree,Epidemiology

论文评审过程:Received 8 November 2007, Revised 30 June 2008, Accepted 4 July 2008, Available online 9 September 2008.

论文官网地址:https://doi.org/10.1016/j.artmed.2008.07.008