COVID-19

Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity
Objective: To study the suitability of cost-sensitive ordinal artificial intelligence-machine learning (AI-ML) strategies in the …
Fernando García-García, Dae-Jin Lee, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Joaquín Martínez-Minaya, Miren Hayet-Otero, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge, COVID-19 & Air Pollution Working Group
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Cost-sensitive ordinal classification methods to predict SARS-CoV-2 pneumonia severity
Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
This study examines the relationship between outdoor air pollution exposure and the severity and mortality of COVID-19 pneumonia. The …
O. Bronte, F. García-García, D.-J. Lee, I. Urrutia, A. Uranga, M. Nieves, Joaquín Martínez-Minaya, J.M. Quintana, I. Arostegui, R. Zalacain, L.A. Ruiz-Iturriaga, L. Serrano, R. Menéndez, R. Méndez, A. Torres, C. Cilloniz, P.P. España, COVID-19 & Air Pollution Working Group
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Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia
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 …
Miren Hayet-Otero, Fernando García-García, Dae-Jin Lee, Joaquín Martínez-Minaya, Pedro Pablo España Yandiola, Isabel Urrutia Landa, Mónica Nieves Ermecheo, José María Quintana, Rosario Menéndez, Antoni Torres, Rafael Zalacain Jorge, Inmaculada Arostegui, COVID-19 & Air Pollution Working Group
PDF Citas DOI
Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques