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Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients
OBJECTIVES: Triage is a process to accurately assess and classify symptoms to identify and provide rapid treatment to patients. The Korean Triage and Acuity Scale (KTAS) is used as a triage instrument in all emergency centers. The aim of this study was to train and compare machine learning models to...
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| Publicado en: | Healthc Inform Res |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Korean Society of Medical Informatics
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6859273/ https://ncbi.nlm.nih.gov/pubmed/31777674 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4258/hir.2019.25.4.305 |
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