Comparing artificial neural network training algorithms to predict length of stay in hospitalized patients with COVID-19

BACKGROUND: The exponential spread of coronavirus disease 2019 (COVID-19) causes unexpected economic burdens to worldwide health systems with severe shortages in hospital resources (beds, staff, equipment). Managing patients’ length of stay (LOS) to optimize clinical care and utilization of hospital...

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Detalles Bibliográficos
Autores principales: Orooji, Azam, Shanbehzadeh, Mostafa, Mirbagheri, Esmat, Kazemi-Arpanahi, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733380/
https://www.ncbi.nlm.nih.gov/pubmed/36494613
http://dx.doi.org/10.1186/s12879-022-07921-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733380/
https://www.ncbi.nlm.nih.gov/pubmed/36494613
http://dx.doi.org/10.1186/s12879-022-07921-2

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