A multicenter mixed-effects model for inference and prediction of 72-h return visits to the emergency department for adult patients with trauma-related diagnoses

OBJECTIVE: Emergency department (ED) return visits within 72 h may be a sign of poor quality of care and entail unnecessary use of healthcare resources. In this study, we compare the performance of two leading statistical and machine learning classification algorithms, and we use the best performing...

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Detalles Bibliográficos
Autores principales: Yaghmaei, Ehsan, Ehwerhemuepha, Louis, Feaster, William, Gibbs, David, Rakovski, Cyril
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427714/
https://www.ncbi.nlm.nih.gov/pubmed/32795327
http://dx.doi.org/10.1186/s13018-020-01863-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427714/
https://www.ncbi.nlm.nih.gov/pubmed/32795327
http://dx.doi.org/10.1186/s13018-020-01863-8

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