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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Detalles Bibliográficos
Autores principales: Youn, Chun-Song, Yi, Hahn, Kim, Youn-Jung, Song, Hwan, Kim, Namkug, Kim, Won-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658463/
https://www.ncbi.nlm.nih.gov/pubmed/34884390
http://dx.doi.org/10.3390/jcm10235688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658463/
https://www.ncbi.nlm.nih.gov/pubmed/34884390
http://dx.doi.org/10.3390/jcm10235688

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