Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques

With the COVID-19 pandemic having caused unprecedented numbers of infections and deaths, large research efforts have been undertaken to increase our understanding of the disease and the factors which determine diverse clinical evolutions. Here we focused on a fully data-driven exploration regarding...

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Detalles Bibliográficos
Autores principales: Hayet-Otero, Miren, García-García, Fernando, Lee, Dae-Jin, Martínez-Minaya, Joaquín, España Yandiola, Pedro Pablo, Urrutia Landa, Isabel, Nieves Ermecheo, Mónica, Quintana, José María, Menéndez, Rosario, Torres, Antoni, Zalacain Jorge, Rafael, Arostegui, Inmaculada
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101453/
https://www.ncbi.nlm.nih.gov/pubmed/37053151
http://dx.doi.org/10.1371/journal.pone.0284150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101453/
https://www.ncbi.nlm.nih.gov/pubmed/37053151
http://dx.doi.org/10.1371/journal.pone.0284150

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