Multisite evaluation of prediction models for emergency department crowding before and during the COVID-19 pandemic

OBJECTIVE: To develop a machine learning framework to forecast emergency department (ED) crowding and to evaluate model performance under spatial and temporal data drift. MATERIALS AND METHODS: We obtained 4 datasets, identified by the location: 1—large academic hospital and 2—rural hospital, and ti...

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Detalles Bibliográficos
Autores principales: Smith, Ari J, Patterson, Brian W, Pulia, Michael S, Mayer, John, Schwei, Rebecca J, Nagarajan, Radha, Liao, Frank, Shah, Manish N, Boutilier, Justin J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620348/
https://www.ncbi.nlm.nih.gov/pubmed/36308445
http://dx.doi.org/10.1093/jamia/ocac214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620348/
https://www.ncbi.nlm.nih.gov/pubmed/36308445
http://dx.doi.org/10.1093/jamia/ocac214

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