Machine learning validation through decision tree analysis of the Epidemiology-Based Mortality Score in Status Epilepticus.

This validation study using a machine learning analysis shows that the EMSE is a valuable prognostic tool, and appears particularly accurate and effective in identifying patients with 30-day survival, whereas its performance in predicting 30-day mortality is lower and needs to be further improved.