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Predicting Cardiac Arrest in Children with Heart Disease: A Novel Machine Learning Algorithm

Background: Children with congenital and acquired heart disease are at a higher risk of cardiac arrest compared to those without heart disease. Although the monitoring of cardiopulmonary resuscitation quality and extracorporeal resuscitation technologies have advanced, survival after cardiac arrest...

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Detalles Bibliográficos
Autores principales:	Yu, Priscilla, Skinner, Michael, Esangbedo, Ivie, Lasa, Javier J., Li, Xilong, Natarajan, Sriraam, Raman, Lakshmi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095110/ https://www.ncbi.nlm.nih.gov/pubmed/37048811 http://dx.doi.org/10.3390/jcm12072728

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