Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients

BACKGROUND: Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management. METHODS: We trained, validated, and externally tested a machine-learning model to early identify patients who will die or require...

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Detalles Bibliográficos
Autores principales: Marcos, Miguel, Belhassen-García, Moncef, Sánchez-Puente, Antonio, Sampedro-Gomez, Jesús, Azibeiro, Raúl, Dorado-Díaz, Pedro-Ignacio, Marcano-Millán, Edgar, García-Vidal, Carolina, Moreiro-Barroso, María-Teresa, Cubino-Bóveda, Noelia, Pérez-García, María-Luisa, Rodríguez-Alonso, Beatriz, Encinas-Sánchez, Daniel, Peña-Balbuena, Sonia, Sobejano-Fuertes, Eduardo, Inés, Sandra, Carbonell, Cristina, López-Parra, Miriam, Andrade-Meira, Fernanda, López-Bernús, Amparo, Lorenzo, Catalina, Carpio, Adela, Polo-San-Ricardo, David, Sánchez-Hernández, Miguel-Vicente, Borrás, Rafael, Sagredo-Meneses, Víctor, Sanchez, Pedro-Luis, Soriano, Alex, Martín-Oterino, José-Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059804/
https://www.ncbi.nlm.nih.gov/pubmed/33882060
http://dx.doi.org/10.1371/journal.pone.0240200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059804/
https://www.ncbi.nlm.nih.gov/pubmed/33882060
http://dx.doi.org/10.1371/journal.pone.0240200

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