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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095110/
https://www.ncbi.nlm.nih.gov/pubmed/37048811
http://dx.doi.org/10.3390/jcm12072728

Ejemplares similares