H. Williams

"Early Stratification of Risk for Poor Neurological Outcome After Cardiac Arrest Is Improved with Processed EEG Data".

AIM To evaluate the impact of adding early processed quantitative EEG biomarkers to health record data for early neurological risk stratification after cardiac arrest using machine learning. METHODS Data available during ICU admission after return of spontaneous circulation (ROSC) were collected from comatose patient...