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...

Descripción completa

Detalles Bibliográficos
Autores principales: Choi, Sae Won, Ko, Taehoon, Hong, Ki Jeong, Kim, Kyung Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2019
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859273/
https://www.ncbi.nlm.nih.gov/pubmed/31777674
http://dx.doi.org/10.4258/hir.2019.25.4.305

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859273/
https://www.ncbi.nlm.nih.gov/pubmed/31777674
http://dx.doi.org/10.4258/hir.2019.25.4.305

Ejemplares similares