Publication:
Minimizing 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".

dc.contributor.authorMartos Pérez, Francisco
dc.contributor.authorGomez Huelgas, Ricardo
dc.contributor.authorMartín Escalante, María Dolores
dc.contributor.authorCasas Rojo, José Manuel
dc.date.accessioned2023-02-09T11:38:39Z
dc.date.available2023-02-09T11:38:39Z
dc.date.issued2021-05-26
dc.identifier.doi10.2196/27142
dc.identifier.essn1438-8871
dc.identifier.pmcPMC8190647
dc.identifier.pmid33989163
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190647/pdf
dc.identifier.unpaywallURLhttps://www.jmir.org/2021/5/e27142/PDF
dc.identifier.urihttp://hdl.handle.net/10668/17792
dc.issue.number5
dc.journal.titleJournal of medical Internet research
dc.journal.titleabbreviationJ Med Internet Res
dc.language.isoen
dc.organizationHospital Costa del Sol
dc.organizationHospital Universitario Regional de Málaga
dc.organizationHospital Universitario Regional de Málaga
dc.page.numbere27142
dc.pubmedtypeJournal Article
dc.pubmedtypeComment
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCOVID-19
dc.subjectSARS-CoV-2
dc.subjectartificial intelligence
dc.subjectbig data
dc.subjectclassification bias
dc.subjectcritical care
dc.subjectelectronic health records
dc.subjectpredictive model
dc.subjectprognosis
dc.subjecttachypnea
dc.subject.meshBias
dc.subject.meshCOVID-19
dc.subject.meshHumans
dc.subject.meshIntensive Care Units
dc.subject.meshMachine Learning
dc.subject.meshNatural Language Processing
dc.subject.meshPrognosis
dc.subject.meshRetrospective Studies
dc.subject.meshSARS-CoV-2
dc.titleMinimizing 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".
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number23
dspace.entity.typePublication

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