Cargando…
Predicting 72-hour and 9-day return to the emergency department using machine learning
OBJECTIVES: To predict 72-h and 9-day emergency department (ED) return by using gradient boosting on an expansive set of clinical variables from the electronic health record. METHODS: This retrospective study included all adult discharges from a level 1 trauma center ED and a community hospital ED c...
Autores principales: | Hong, Woo Suk, Haimovich, Adrian Daniel, Taylor, Richard Andrew |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951979/ https://www.ncbi.nlm.nih.gov/pubmed/31984367 http://dx.doi.org/10.1093/jamiaopen/ooz019 |
Ejemplares similares
-
Predicting hospital admission at emergency department triage using machine learning
por: Hong, Woo Suk, et al.
Publicado: (2018) -
ICU admission following an unscheduled return visit to the pediatric emergency department within 72 hours
por: Chiang, Charng-Yen, et al.
Publicado: (2019) -
Factors Associated with Return Visits by Elders within 72 Hours of Discharge from the Emergency Department
por: Wang, Li-Hsiang, et al.
Publicado: (2023) -
Discharge in Pandemic: Suspected Covid-19 patients returning to the Emergency Department within 72 hours for admission
por: Margus, Colton, et al.
Publicado: (2021) -
Understanding Why Patients Return to the Emergency Department after Mild Traumatic Brain Injury within 72 Hours
por: Ganti, Latha, et al.
Publicado: (2015)