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Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study
BACKGROUND: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea. For rapid triage, we studied machine learning-based triage systems composed of a speech recognition model and natural lan...
Autores principales: | Kim, Dongkyun, Oh, Jaehoon, Im, Heeju, Yoon, Myeongseong, Park, Jiwoo, Lee, Joohyun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275459/ https://www.ncbi.nlm.nih.gov/pubmed/34254471 http://dx.doi.org/10.3346/jkms.2021.36.e175 |
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