Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Development and Validation of Simple Age-Adjusted Objectified Korean Triage and Acuity Scale for Adult Patients Visiting the Emergency Department
por: Kim, Seung Wook, et al.
Publicado: (2022) -
Triage accuracy and causes of mistriage using the Korean Triage and Acuity Scale
por: Moon, Sun-Hee, et al.
Publicado: (2019) -
Reliability of Canadian Emergency Department Triage and Acuity Scale (CTAS) in Saudi Arabia
por: Alquraini, Mustafa, et al.
Publicado: (2015) -
Over-triage occurs when considering the patient's pain in Korean Triage and Acuity Scale (KTAS)
por: Lee, Ji Hwan, et al.
Publicado: (2019) -
Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department
por: Yu, Jae Yong, et al.
Publicado: (2020)