Predicting length of stay in hospitals intensive care unit using general admission features
According to the World Health Organization (WHO), patient Length of Stay (LOS) in hospitals is an important performance measurement and monitoring indicator. Prolonged LOS in the Intensive Care Unit (ICU) may lead to consuming hospital resources, manpower, and equipment. Therefore, accurate predicti...
Guardado en:
Autores principales: | Merhan A. Abd-Elrazek, Ahmed A. Eltahawi, Mohamed H. Abd Elaziz, Mohamed N. Abd-Elwhab |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8875902bb08843d39dd435135103f26c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Quantifying the impact of addressing data challenges in prediction of length of stay
por: Amin Naemi, et al.
Publicado: (2021) -
Predicting Hospital Length of Stay at Admission Using Global and Country-Specific Competing Risk Analysis of Structural, Patient, and Nutrition-Related Data from nutritionDay 2007–2015
por: Noemi Kiss, et al.
Publicado: (2021) -
Results of Behavioral Evaluations Predict Length of Stay for Shelter Dogs
por: Betty McGuire, et al.
Publicado: (2021) -
Long Length of Stay in the Intensive Care Unit (≥90 Days): Retrospective Analysis of Predisposing Factors and Results
por: Ökkeş Hakan Miniksar, et al.
Publicado: (2021) -
Unmanaged Pharmacogenomic and Drug Interaction Risk Associations with Hospital Length of Stay among Medicare Advantage Members with COVID-19: A Retrospective Cohort Study
por: Kristine Ashcraft, et al.
Publicado: (2021)