Can routine laboratory variables predict survival in COVID-19? An artificial neural network-based approach

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dc.contributor.authorSantos Lozano, Alejandro
dc.contributor.authorCalvo Boyero, Fernando
dc.contributor.authorLópez Jiménez, Ana
dc.contributor.authorCueto Felgueroso, Cecilia
dc.contributor.authorCastillo García, Adrián
dc.contributor.authorValenzuela Ruiz, Pedro Luis
dc.contributor.authorArenas, Joaquín
dc.contributor.authorLucía Mulas, Alejandro
dc.contributor.authorMartín Casanueva, Miguel Ángel
dc.contributor.authorCOVID-19 Hospital ’12 Octubre’ Clinical Biochemisty Study Group
dc.date.accessioned2020-10-16T14:47:53Z
dc.date.available2020-10-16T14:47:53Z
dc.date.issued2020
dc.description.filiationUEMspa
dc.description.impact3.694 JCR (2020) Q2, 8/29 Medical Laboratory Technologyspa
dc.description.impact0.977 SJR (2020) Q1, 578/2448 Medicine (miscellaneous)spa
dc.description.impactNo data IDR 2019spa
dc.description.sponsorshipSin financiaciónspa
dc.identifier.citationSantos-Lozano, A., Calvo-Boyero, F., López-Jiménez, A., Cueto-Felgueroso, C., Castillo-García, A., Valenzuela, P. L., Arenas, J., Lucía Mulas, A., & Martín, M. A. (2020). Can routine laboratory variables predict survival in COVID-19? An artificial neural network-based approach. Clinical Chemistry and Laboratory Medicine (CCLM), 58(12), e299-e302. https://doi.org/10.1515/cclm-2020-0730spa
dc.identifier.doi10.1515/cclm-2020-0730
dc.identifier.issn1434-6621
dc.identifier.issn1437-4331
dc.identifier.urihttp://hdl.handle.net/11268/9151
dc.language.isoengspa
dc.peerreviewedSispa
dc.relation.publisherversionhttps://doi.org/10.1515/cclm-2020-0730spa
dc.rights.accessRightsopen accessspa
dc.subject.uemCOVID-19spa
dc.subject.uemRedes neuronales artificialesspa
dc.subject.uemLaboratorios de ensayospa
dc.subject.unescoVirologíaspa
dc.subject.unescoInteligencia artificialspa
dc.subject.unescoLaboratorio de investigaciónspa
dc.titleCan routine laboratory variables predict survival in COVID-19? An artificial neural network-based approachspa
dc.typejournal articlespa
dspace.entity.typePublication
relation.isAuthorOfPublicationd3691359-d7bd-4a12-b84e-338e28c81f9f
relation.isAuthorOfPublication.latestForDiscoveryd3691359-d7bd-4a12-b84e-338e28c81f9f

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