Comparison of Machine Learning Methods to Predict Early Mortality After Evacuation of Chronic Subdural Hematoma.

The LR model demonstrated the best performance of discriminative ability, balanced accuracy, and recall, whereas DT modeling performed worst. Using an automated segmentation software, our models demonstrate an ability to identify patients at high risk of mortality after treatment for cSDH.