Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/22656
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dc.contributor.authorVera Elizabeth Closs-
dc.contributor.authorPatricia Klarmann Ziegelmann-
dc.contributor.authorJoão Henrique Ferreira Flores-
dc.contributor.authorIrenio Gomes-
dc.contributor.authorCarla Helena Augustin Schwanke-
dc.date.accessioned2022-08-16T21:14:06Z-
dc.date.available2022-08-16T21:14:06Z-
dc.date.issued2017-
dc.identifier.issn1687-7071-
dc.identifier.urihttps://hdl.handle.net/10923/22656-
dc.language.isoen-
dc.relation.ispartofCurrent Gerontology and Geriatrics Research-
dc.rightsopenAccess-
dc.subjectelderly-
dc.subjectfrailty-
dc.subjectanthropometric measures-
dc.subjectneural network models-
dc.titleAnthropometric Measures and Frailty Prediction in the Elderly: An Easy-to-Use Tool-
dc.typeArticle-
dc.date.updated2022-08-16T21:14:05Z-
dc.identifier.doiDOI:10.1155/2017/8703503-
dc.jtitleCurrent Gerontology and Geriatrics Research-
dc.volume2017-
dc.spage1-
dc.epage8-
Appears in Collections:Artigo de Periódico

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