Patient-Specific Predictive Modeling Using Random Forests: An Observational Study for the Critically Ill

The RF PSM led to good mortality prediction performance for several predictive models, although it failed to induce improved performance in RF and CSRF. The distinction between predictor and similarity variables is an important issue arising from the present study. RFs present a promising method for patient-specific outcome prediction.