Using machine learning to predict subsequent events after EMS non-conveyance decisions

BACKGROUND: Predictors of subsequent events after Emergency Medical Services (EMS) non-conveyance decisions are still unclear, though patient safety is the priority in prehospital emergency care. The aim of this study was to find out whether machine learning can be used in this context and to identi...

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Detalles Bibliográficos
Autores principales: Paulin, Jani, Reunamo, Akseli, Kurola, Jouni, Moen, Hans, Salanterä, Sanna, Riihimäki, Heikki, Vesanen, Tero, Koivisto, Mari, Iirola, Timo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229877/
https://www.ncbi.nlm.nih.gov/pubmed/35739501
http://dx.doi.org/10.1186/s12911-022-01901-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229877/
https://www.ncbi.nlm.nih.gov/pubmed/35739501
http://dx.doi.org/10.1186/s12911-022-01901-x

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