Interoperable and explainable machine learning models to predict morbidity and mortality in acute neurological injury in the pediatric intensive care unit: secondary analysis of the TOPICC study

BACKGROUND: Acute neurological injury is a leading cause of permanent disability and death in the pediatric intensive care unit (PICU). No predictive model has been validated for critically ill children with acute neurological injury. OBJECTIVES: We hypothesized that PICU patients with concern for a...

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Detalles Bibliográficos
Autores principales: Munjal, Neil K., Clark, Robert S. B., Simon, Dennis W., Kochanek, Patrick M., Horvat, Christopher M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338865/
https://www.ncbi.nlm.nih.gov/pubmed/37456559
http://dx.doi.org/10.3389/fped.2023.1177470

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338865/
https://www.ncbi.nlm.nih.gov/pubmed/37456559
http://dx.doi.org/10.3389/fped.2023.1177470

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