Fig. 1.

Schematic representation of study design. Patients were split into training and test cohorts, and the training cohort was used for feature selection/engineering and training the random survival forest. The trained random survival forest was then interrogated to identify potentially informative biomarkers and used to generate test set predictions. These test set predictions were compared to several other models and variable sets applied to the same test data.