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A quick prediction tool for unfavourable outcome in COVID-19 inpatients: Development and internal validation

Sonsoles Salto‐Alejandre, Cristina Roca-Oporto, Guillermo Martín-Gutiérrez, María Dolores Avilés, Carmen Gómez-González, María Dolores Navarro-Amuedo, Julia Praena‐Segovia, José Molina, María Paniagua‐García, Horacio García-Delgado, Antonio Domínguez-Petit, Jerónimo Pachón, José Miguel Cisneros

2020Journal of Infection19 citationsDOIOpen Access PDF

Topics & Concepts

MedicineScopusCoronavirus disease 2019 (COVID-19)Critical appraisalObservational studyCohortPandemicDiseaseDiabetes mellitusMEDLINEIntensive care medicineInternal medicinePathologyAlternative medicineInfectious disease (medical specialty)LawPolitical scienceEndocrinologyCOVID-19 diagnosis using AIMachine Learning in HealthcareCOVID-19 Clinical Research Studies
A quick prediction tool for unfavourable outcome in COVID-19 inpatients: Development and internal validation | Litcius