Development of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach

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dc.contributor.authorDaniela Ponce
dc.contributor.authorLuís Gustavo Modelli de Andrade
dc.contributor.authorRolando Claure‐Del Granado
dc.contributor.authorAlejandro Ferreiro-Fuentes
dc.contributor.authorRaúl Lombardi
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:37:07Z
dc.date.available2026-03-22T14:37:07Z
dc.date.issued2021
dc.descriptionCitaciones: 17
dc.identifier.doi10.1038/s41598-021-03894-5
dc.identifier.urihttps://doi.org/10.1038/s41598-021-03894-5
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/47561
dc.language.isoen
dc.publisherNature Portfolio
dc.relation.ispartofScientific Reports
dc.sourceUniversidade de São Paulo
dc.subjectMedicine
dc.subjectAcute kidney injury
dc.subjectReceiver operating characteristic
dc.subjectCohort
dc.subjectCoronavirus disease 2019 (COVID-19)
dc.subjectEmergency medicine
dc.subjectSeverity of illness
dc.subjectInternal medicine
dc.subjectIntensive care medicine
dc.subjectCohort study
dc.titleDevelopment of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach
dc.typearticle

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