The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study

BACKGROUND: Accurate prehospital trauma triage is crucial for identifying critically injured patients and determining the level of care. In the prehospital setting, time and data are often scarce, limiting the complexity of triage models. The aim of this study was to assess whether, compared with lo...

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Detalles Bibliográficos
Autores principales: Larsson, Anna, Berg, Johanna, Gellerfors, Mikael, Gerdin Wärnberg, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215793/
https://www.ncbi.nlm.nih.gov/pubmed/34148560
http://dx.doi.org/10.1186/s12911-021-01558-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215793/
https://www.ncbi.nlm.nih.gov/pubmed/34148560
http://dx.doi.org/10.1186/s12911-021-01558-y

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