Deep-learning-based out-of-hospital cardiac arrest prognostic system to predict clinical outcomes.
Journal:
Resuscitation
PMID:
30978378
Abstract
AIM: Out-of-hospital cardiac arrest (OHCA) is a major healthcare burden, and prognosis is critical in decision-making for treatment and the withdrawal of life-sustaining therapy. This study aimed to develop and validate a deep-learning-based out-of-hospital cardiac arrest prognostic system (DCAPS) for predicting neurologic recovery and survival to discharge.