Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning.

The XGBoost machine learning model with 10 features available at the time of hospital admission showed good performance for predicting neurologic outcome after OHCA, with no apparent signs of overfitting.