A comparison of machine learning algorithms in predicting COVID-19 prognostics

ML algorithms are used to develop prognostic and diagnostic models and so to support clinical decision-making. This study uses eight supervised ML algorithms to predict the need for intensive care, intubation, and mortality risk for COVID-19 patients. The study uses two datasets: (1) patient demogra...

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Detalles Bibliográficos
Autores principales: Ustebay, Serpil, Sarmis, Abdurrahman, Kaya, Gulsum Kubra, Sujan, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
EM - Original
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483274/
https://www.ncbi.nlm.nih.gov/pubmed/36116079
http://dx.doi.org/10.1007/s11739-022-03101-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483274/
https://www.ncbi.nlm.nih.gov/pubmed/36116079
http://dx.doi.org/10.1007/s11739-022-03101-x

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