Early Identification of Resuscitated Patients with a Significant Coronary Disease in Out-of-Hospital Cardiac Arrest Survivors without ST-Segment Elevation

Early Identification of Resuscitated Patients with a Significant Coronary Disease in Out-of-Hospital Cardiac Arrest Survivors without ST-Segment Elevation

This study aimed to develop a machine learning (ML)-based model for identifying patients who had a significant coronary artery disease among out-of-hospital cardiac arrest (OHCA) survivors without ST-segment elevation (STE). This multicenter observational study used data from the Korean Hypothermia...

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Bibliographic Details
Main Authors: Chun-Song Youn, Hahn Yi, Youn-Jung Kim, Hwan Song, Namkug Kim, Won-Young Kim
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Clinical Medicine
Subjects:
out-of-hospital cardiac arrest
coronary angiography
machine learning
coronary artery disease
Online Access:https://www.mdpi.com/2077-0383/10/23/5688

Internet

https://www.mdpi.com/2077-0383/10/23/5688

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