Outcome prediction of out-of-hospital cardiac arrest with presumed cardiac aetiology using an advanced machine learning technique.

Affiliation

Department of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan. Electronic address: [Email]

Abstract

Outcome prediction for patients with out-of-hospital cardiac arrest (OHCA) has the possibility to detect patients who could have been potentially saved. Advanced machine learning techniques have recently been developed and employed for clinical studies. In this study, we aimed to establish a prognostication model for OHCA with presumed cardiac aetiology using an advanced machine learning technique.

Keywords

Machine learning,Out-of-hospital cardiac arrest,Outcome prediction,Resuscitation,

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