Prediction of 30-day, 90-day, and 1-year mortality after colorectal cancer surgery using a data-driven approach.

We were able to train prediction models for the risk of short-term mortality on a data set of four combined national health databases with good discrimination and calibration. We found that one cohort including all operated patients resulted in better performing models than cohorts based on several subgroups.