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

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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Bibliographic Details
Main Authors: Priscilla Yu, Michael Skinner, Ivie Esangbedo, Javier J. Lasa, Xilong Li, Sriraam Natarajan, Lakshmi Raman
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Journal of Clinical Medicine
Subjects:
machine learning
cardiac arrest
prediction
pediatrics
heart disease
Online Access:https://www.mdpi.com/2077-0383/12/7/2728

Internet

https://www.mdpi.com/2077-0383/12/7/2728

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