Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/55778
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dc.contributor.authorCOVIDSurg Collaborative
dc.date.accessioned2022-10-04T07:17:07Z-
dc.date.available2022-10-04T07:17:07Z-
dc.date.issued2021
dc.identifier.citationBr J Surg.2021;(108)11:1274-1292
dc.identifier.urihttps://hdl.handle.net/20.500.12530/55778-
dc.language.isoen
dc.rightsopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.meshCOVID-19
dc.subject.meshCohort Studies
dc.subject.meshDatasets as Topic
dc.subject.meshHumans
dc.subject.meshMachine Learning
dc.subject.meshModels, Statistical
dc.subject.meshRisk Assessment
dc.subject.meshSARS-CoV-2
dc.subject.meshSurgical Procedures, Operative
dc.titleMachine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score.
dc.typeArtículo
dc.identifier.pubmedID34227657
dc.format.volume108
dc.format.page1274-1292
dc.identifier.e-issn1365-2168
dc.identifier.journalThe British journal of surgery
dc.identifier.journalabbreviationBr J Surg
dc.identifier.doi10.1093/bjs/znab183
dc.format.number11
dc.identifier.pmcPMC8344569
dc.pubmedtypeJournal Article
dc.pubmedtypeMulticenter Study
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8344569/pdf
Appears in Collections:Fundaciones e Institutos de Investigación > FIIB H. U. Infanta Sofía y H. U. Henares > Artículos

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