Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review

BACKGROUND: The primary objective of this review is to assess the accuracy of machine learning methods in their application of triaging the acuity of patients presenting in the Emergency Care System (ECS). The population are patients that have contacted the ambulance service or turned up at the Emer...

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Detalles Bibliográficos
Autores principales: Miles, Jamie, Turner, Janette, Jacques, Richard, Williams, Julia, Mason, Suzanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531169/
https://www.ncbi.nlm.nih.gov/pubmed/33024830
http://dx.doi.org/10.1186/s41512-020-00084-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531169/
https://www.ncbi.nlm.nih.gov/pubmed/33024830
http://dx.doi.org/10.1186/s41512-020-00084-1

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