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

Stanley D T PhamHanneke M KeijzerBarry J RuijterAntje A SeeberErik ScholtenGea DrostWalter M van den BerghFrancois H M KornipsNorbert A FoudraineAlbertus BeishuizenMichiel J BlansJeannette HofmeijerMichel J A M van PuttenMarleen C Tjepkema-Cloostermans

Published in: Neurocritical care (2022)

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

Keyphrases

cardiac arrest
deep learning
cardiopulmonary resuscitation
end stage renal disease
newly diagnosed
machine learning
ejection fraction
prognostic factors
high throughput
high density