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    RD-2023-427-UNC-DEC#FL

    Abstract
    Asignar a la alumna Lidia Clarisa PEREIRA GONZALEZ AGUIAR, DNI 33471375, el tema Citation: Weslowski S, Lemmon G, Hernandez E J, Henrie A, Miller T A, Weyhrauch D, et al. (2022) An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records. PLOS Digit Health 1(1): e0000004. https: //doi.org/10.1371/journal.pdig.0000004, correspondiente a la Especialización en Traducción Científica y Técnica.
    Date
    2023-03-23
    Fecha Publicación
    2023-03-23
    xmlui.dri2xhtml.METS-1.0.item-type
    Resolución
    Decanato
    xmlui.dri2xhtml.METS-1.0.item-repartition
    Facultad de Lenguas
    xmlui.dri2xhtml.METS-1.0.item-num
    427
    xmlui.dri2xhtml.METS-1.0.item-numesp
    RD-2023-427-UNC-DEC#FL
    xmlui.dri2xhtml.METS-1.0.item-numexp
    EX-2022-00970770- UNC-ME#FL
    View/Open
    RD-2023-427-UNC-DEC#FL.pdf (130.7Kb)
    URI
    https://digesto.unc.edu.ar/handle/123456789/462060
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    • FL - RD - Resolución Decanal

     

     

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