Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/23991
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dc.contributor.authorREINHEIMER, I.C.-
dc.contributor.authorBEER, M.A.-
dc.contributor.authorLIED DA CUNHA, M.-
dc.contributor.authorTELÖKEN, I.B.-
dc.contributor.authorBRAGA DA SILVEIRA, J.-
dc.contributor.authorVIVIANE BARON, M.-
dc.contributor.authorHALPERIN, F.K.-
dc.contributor.authorWOLF, R.C.-
dc.contributor.authorRIBEIRO, R.-
dc.contributor.authorPAZ MUNHOZ, T.-
dc.contributor.authorFIGUEIREDO, A.E.-
dc.contributor.authorLESQUEVES BARRA, A.B.-
dc.contributor.authorSTROGOFF-DE-MATOS, J.P.-
dc.contributor.authorBORDINI, R.H.-
dc.contributor.authorCarlos Eduardo Poli de Figueiredo-
dc.date.accessioned2023-03-30T18:51:45Z-
dc.date.available2023-03-30T18:51:45Z-
dc.date.issued2023-
dc.identifier.issn2468-0249-
dc.identifier.urihttps://hdl.handle.net/10923/23991-
dc.language.isoen-
dc.relation.ispartofKIDNEY INTERNATIONAL REPORTS-
dc.rightsopenAccess-
dc.titleWCN23-0997 MACHINE LEARNING MODELS USING BIOMARKERS TO PREDICT MORTALITY IN HEMODIALYSIS-
dc.typeArticle-
dc.date.updated2023-03-30T18:51:44Z-
dc.identifier.doiDOI:10.1016/j.ekir.2023.02.669-
dc.jtitleKIDNEY INTERNATIONAL REPORTS-
dc.volume8-
dc.issue3-
dc.spageS298-
dc.epageS299-
Appears in Collections:Artigo de Periódico

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