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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| 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 |