An Artificial Neural Network–Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry

An Artificial Neural Network–Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry

BackgroundIn the pediatric intensive care unit (PICU), quantifying illness severity can be guided by risk models to enable timely identification and appropriate intervention. Logistic regression models, including the pediatric index of mortality 2 (PIM-2) and pediatric risk o...

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Bibliographic Details
Main Authors: Niema Ghanad Poor, Nicholas C West, Rama Syamala Sreepada, Srinivas Murthy, Matthias Görges
Format: Article
Language:English
Published: JMIR Publications 2021-08-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2021/8/e24079

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https://medinform.jmir.org/2021/8/e24079

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