Cargando…
Prediction across healthcare settings: a case study in predicting emergency department disposition
Several approaches exist today for developing predictive models across multiple clinical sites, yet there is a lack of comparative data on their performance, especially within the context of EHR-based prediction models. We set out to provide a framework for prediction across healthcare settings. As...
Autores principales: | Barak-Corren, Yuval, Chaudhari, Pradip, Perniciaro, Jessica, Waltzman, Mark, Fine, Andrew M., Reis, Ben Y. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674364/ https://www.ncbi.nlm.nih.gov/pubmed/34912043 http://dx.doi.org/10.1038/s41746-021-00537-x |
Ejemplares similares
-
Predicting surgical department occupancy and patient length of stay in a paediatric hospital setting using machine learning: a pilot study
por: Barak Corren, Yuval, et al.
Publicado: (2022) -
Improving risk prediction for target subpopulations: Predicting suicidal behaviors among multiple sclerosis patients
por: Barak-Corren, Yuval, et al.
Publicado: (2023) -
Predictive structured–unstructured interactions in EHR models: A case study of suicide prediction
por: Bayramli, Ilkin, et al.
Publicado: (2022) -
Large observational study on risks predicting emergency department return visits and associated disposition deviations
por: Huggins, Charles, et al.
Publicado: (2019) -
The Ability of Emergency Medical Service Staff to Predict Emergency Department Disposition: A Prospective Study
por: Alghamdi, Abdulrhman, et al.
Publicado: (2023)