Predicting the COVID-19 mortality among Iranian patients using tree-based models: A cross-sectional study.

XGBoost, LightGBM, and random forest have a relatively high predictive performance in prediction of mortality in COVID-19 patients and can be applied in hospital settings, however, future research are needed to externally confirm the validation of these models.