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

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

<h4>Background</h4>Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management.<h4>Methods</h4>We trained, validated, and externally tested a machine-learning model to early ident...

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Bibliographic Details
Main Authors: Miguel Marcos, Moncef Belhassen-García, Antonio Sánchez-Puente, Jesús Sampedro-Gomez, Raúl Azibeiro, Pedro-Ignacio Dorado-Díaz, Edgar Marcano-Millán, Carolina García-Vidal, María-Teresa Moreiro-Barroso, Noelia Cubino-Bóveda, María-Luisa Pérez-García, Beatriz Rodríguez-Alonso, Daniel Encinas-Sánchez, Sonia Peña-Balbuena, Eduardo Sobejano-Fuertes, Sandra Inés, Cristina Carbonell, Miriam López-Parra, Fernanda Andrade-Meira, Amparo López-Bernús, Catalina Lorenzo, Adela Carpio, David Polo-San-Ricardo, Miguel-Vicente Sánchez-Hernández, Rafael Borrás, Víctor Sagredo-Meneses, Pedro-Luis Sanchez, Alex Soriano, José-Ángel Martín-Oterino
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0240200

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https://doi.org/10.1371/journal.pone.0240200

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