Machine learning models predicting undertriage in telephone triage

BACKGROUND: Undertriaged patients have worse outcomes than appropriately triaged patients. Machine learning provides better triage prediction than conventional triage in emergency departments, but no machine learning-based undertriage prediction models have yet been developed for prehospital telepho...

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Detalles Bibliográficos
Autores principales: Inokuchi, Ryota, Iwagami, Masao, Sun, Yu, Sakamoto, Ayaka, Tamiya, Nanako
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Emergency Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9621252/
https://www.ncbi.nlm.nih.gov/pubmed/36286496
http://dx.doi.org/10.1080/07853890.2022.2136402

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9621252/
https://www.ncbi.nlm.nih.gov/pubmed/36286496
http://dx.doi.org/10.1080/07853890.2022.2136402

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