Comparison of Machine Learning Methods for Predicting Outcomes After In-Hospital Cardiac Arrest

Prognostication of neurologic status among survivors of in-hospital cardiac arrests remains a challenging task for physicians. Although models such as the Cardiac Arrest Survival Post-Resuscitation In-hospital score are useful for predicting neurologic outcomes, they were developed using traditional...

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Bibliographic Details
Published in:	Critical care medicine Vol. 50; no. 2; p. e162
Main Authors:	Mayampurath, Anoop, Hagopian, Raffi, Venable, Laura, Carey, Kyle, Edelson, Dana, Churpek, Matthew
Format:	Journal Article
Language:	English
Published:	United States 01.02.2022
Subjects:	Aged Area Under Curve Cohort Studies Female Forecasting - methods Heart Arrest - complications Heart Arrest - epidemiology Heart Arrest - mortality Humans Machine Learning - standards Machine Learning - statistics & numerical data Male Middle Aged Outcome Assessment, Health Care - methods Outcome Assessment, Health Care - statistics & numerical data Prognosis ROC Curve Survivors - statistics & numerical data
ISSN:	1530-0293, 1530-0293
Online Access:	Get more information
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