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Sarcopenia feature selection and risk prediction using machine learning

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dc.contributor.authorYoo, Jun-Il-
dc.contributor.authorPark, Chan-Ho-
dc.contributor.authorKim, Hyeonmok-
dc.date.accessioned2022-12-26T14:17:50Z-
dc.date.available2022-12-26T14:17:50Z-
dc.date.issued2019-12-
dc.identifier.issn0884-0431-
dc.identifier.issn1523-4681-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/8489-
dc.format.extent1-
dc.language영어-
dc.language.isoENG-
dc.publisherAmerican Society for Bone and Mineral Research-
dc.titleSarcopenia feature selection and risk prediction using machine learning-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.wosid000508356602057-
dc.identifier.bibliographicCitationJournal of Bone and Mineral Research, v.34, pp 145 - 145-
dc.citation.titleJournal of Bone and Mineral Research-
dc.citation.volume34-
dc.citation.startPage145-
dc.citation.endPage145-
dc.type.docTypeMeeting Abstract-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEndocrinology & Metabolism-
dc.relation.journalWebOfScienceCategoryEndocrinology & Metabolism-
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