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Integrating machine learning approach to identify sleep-disordered breathing in hypertrophic cardiomyopathy

DC Field Value Language
dc.contributor.authorRhee, Tae-Min-
dc.contributor.authorKim, Hyung-Kwan-
dc.date.accessioned2025-02-04T06:38:17Z-
dc.date.available2025-02-04T06:38:17Z-
dc.date.created2025-02-03-
dc.date.issued2024-07-
dc.identifier.citationHEART, Vol.110 No.14, pp.931-932-
dc.identifier.issn1355-6037-
dc.identifier.urihttps://hdl.handle.net/10371/216832-
dc.language영어-
dc.publisherBMJ PUBLISHING GROUP-
dc.titleIntegrating machine learning approach to identify sleep-disordered breathing in hypertrophic cardiomyopathy-
dc.typeArticle-
dc.identifier.doi10.1136/heartjnl-2024-324208-
dc.citation.journaltitleHEART-
dc.identifier.wosid001236379100001-
dc.identifier.scopusid2-s2.0-85195056672-
dc.citation.endpage932-
dc.citation.number14-
dc.citation.startpage931-
dc.citation.volume110-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorKim, Hyung-Kwan-
dc.type.docTypeEditorial Material-
dc.description.journalClass1-
dc.subject.keywordAuthorCardiomyopathy, Hypertrophic-
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