Predicting long-term multicategory cause of death in patients with prostate cancer: random forest versus multinomial model.

The majority of patients with prostate cancer die of non-cancer causes of death (COD). It is thus important to accurately predict multi-category COD in these patients. Random forest (RF), a popular machine learning model, has been shown useful for predicting binary cancer-specific deaths.