Outcome Prediction of Postanoxic Coma: A Comparison of Automated Electroencephalography Analysis Methods

Abstract

A deep learning model outperformed logistic regression and random forest models for reliable, robust, EEG-based outcome prediction of comatose patients after cardiac arrest.