A tutorial on variable selection for clinical prediction models: feature selection methods in data mining could improve the results.
Ewout W Steyerberg
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Identifying an appropriate set of predictors for the outcome of interest is a major challenge in clinical prediction research. The aim of this study was to show the application of some variable selection methods, usually used in data mining, for an epidemiological study. We introduce here a systematic approach.