Martos Pérez, FranciscoGomez Huelgas, RicardoMartín Escalante, María DoloresCasas Rojo, José Manuel2023-02-092023-02-092021-05-26http://hdl.handle.net/10668/17792enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/COVID-19SARS-CoV-2artificial intelligencebig dataclassification biascritical careelectronic health recordspredictive modelprognosistachypneaBiasCOVID-19HumansIntensive Care UnitsMachine LearningNatural Language ProcessingPrognosisRetrospective StudiesSARS-CoV-2Minimizing Selection and Classification Biases. Comment on "Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing".research article33989163open access10.2196/271421438-8871PMC8190647https://www.jmir.org/2021/5/e27142/PDFhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190647/pdf