Cargando…
Machine learning-based prediction of critical illness in children visiting the emergency department
OBJECTIVES: Triage is an essential emergency department (ED) process designed to provide timely management depending on acuity and severity; however, the process may be inconsistent with clinical and hospitalization outcomes. Therefore, studies have attempted to augment this process with machine lea...
Autores principales: | Hwang, Soyun, Lee, Bongjin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853514/ https://www.ncbi.nlm.nih.gov/pubmed/35176113 http://dx.doi.org/10.1371/journal.pone.0264184 |
Ejemplares similares
-
Development and validation of machine learning-driven prediction model for serious bacterial infection among febrile children in emergency departments
por: Lee, Bongjin, et al.
Publicado: (2022) -
A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department
por: Wu, Ting Ting, et al.
Publicado: (2021) -
Machine learning for prediction of intra-abdominal abscesses in
patients with Crohn’s disease visiting the emergency department
por: Levartovsky, Asaf, et al.
Publicado: (2021) -
Predicting Emergency Department Visits
por: Poole, Sarah, et al.
Publicado: (2016) -
A Machine Learning-Based Study of the Effects of Air Pollution and Weather in Respiratory Disease Patients Visiting Emergency Departments
por: Lee, Eu Sun, et al.
Publicado: (2022)