Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework

Recently, the hospital systems face a high influx of patients generated by several events, such as seasonal flows or health crises related to epidemics (e.g., COVID’19). Despite the extent of the care demands, hospital establishments, particularly emergency departments (EDs), must admit patients for...

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Detalles Bibliográficos
Autores principales: Kadri, Farid, Dairi, Abdelkader, Harrou, Fouzi, Sun, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810344/
https://www.ncbi.nlm.nih.gov/pubmed/35132336
http://dx.doi.org/10.1007/s12652-022-03717-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810344/
https://www.ncbi.nlm.nih.gov/pubmed/35132336
http://dx.doi.org/10.1007/s12652-022-03717-z

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