Open AccessContinuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset*
Author(s) -
Melissa Aczon,
David Ledbetter,
Eugene Laksana,
Long Van Ho,
Randall C. Wetzel
Publication year - 2021
Publication title -
pediatric critical care medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.299
H-Index - 87
eISSN - 1947-3893
pISSN - 1529-7535
DOI - 10.1097/pcc.0000000000002682
Subject(s) - medicine , receiver operating characteristic , logistic regression , pediatrics , retrospective cohort study , medical record , proxy (statistics) , cohort , emergency medicine , single center , area under the curve , machine learning , computer science
Develop, as a proof of concept, a recurrent neural network model using electronic medical records data capable of continuously assessing an individual child's risk of mortality throughout their ICU stay as a proxy measure of severity of illness.