Comparison and interpretability of machine learning models to predict severity of chest injury

OBJECTIVE: Trauma quality improvement programs and registries improve care and outcomes for injured patients. Designated trauma centers calculate injury scores using dedicated trauma registrars; however, many injuries arrive at nontrauma centers, leaving a substantial amount of data uncaptured. We p...

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Detalles Bibliográficos
Autores principales: Kulshrestha, Sujay, Dligach, Dmitriy, Joyce, Cara, Gonzalez, Richard, O’Rourke, Ann P, Glazer, Joshua M, Stey, Anne, Kruser, Jacqueline M, Churpek, Matthew M, Afshar, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935500/
https://www.ncbi.nlm.nih.gov/pubmed/33709067
http://dx.doi.org/10.1093/jamiaopen/ooab015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935500/
https://www.ncbi.nlm.nih.gov/pubmed/33709067
http://dx.doi.org/10.1093/jamiaopen/ooab015

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