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

BACKGROUND: In 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 of mortality III (PRISM...

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Detalles Bibliográficos
Autores principales: Ghanad Poor, Niema, West, Nicholas C, Sreepada, Rama Syamala, Murthy, Srinivas, Görges, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441599/
https://www.ncbi.nlm.nih.gov/pubmed/34463636
http://dx.doi.org/10.2196/24079

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441599/
https://www.ncbi.nlm.nih.gov/pubmed/34463636
http://dx.doi.org/10.2196/24079

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