Predicting mortality risk for preterm infants using random forest.Mortality is an unfortunately common outcome of extremely and very preterm birth.  A random forest (RF) model was trained using a subset of the cohort, labeling data within 6 h of death as "worry."  A random forest model which incorporates fixed clinical factors with the influence of aberrancies in subsequent physiology has superior performance for mortality prediction compared to conventional models.
random forest