Predicting recurrence and recurrence-free survival in high-grade endometrial cancer using machine learning.

A bootstrap random forest model may be a more accurate technique to predict recurrence in HGEC using multiple clinicopathologic factors. For time to recurrence, machine-learning methods performed similarly to the Cox proportional hazards model.