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dc.contributor.authorWonju Seo-
dc.contributor.authorJiho Lee-
dc.contributor.authorSeunghyun Lee-
dc.contributor.authorSung-Min Park-
dc.date.accessioned2019-04-08T02:50:47Z-
dc.date.available2019-04-08T02:50:47Z-
dc.date.created2019-03-20-
dc.date.issued2019-03-20-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/97095-
dc.languageEnglish-
dc.publisherThe Biomedical Engineering Society (BMES) and the US Food and Drug Administration (FDA)-
dc.relation.isPartOf2019 Frontiers in Medical Devices-
dc.relation.isPartOf2019 Frontiers in Medical Devices-
dc.titleAn ensemble approach for accurately predicting hypoglycemia-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitation2019 Frontiers in Medical Devices-
dc.citation.conferenceDate2019-03-19-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceThe Colleage Park Marriott Hotel and Conference Center at the University of Maryland-
dc.citation.title2019 Frontiers in Medical Devices-
dc.contributor.affiliatedAuthorWonju Seo-
dc.contributor.affiliatedAuthorJiho Lee-
dc.contributor.affiliatedAuthorSeunghyun Lee-
dc.contributor.affiliatedAuthorSung-Min Park-
dc.description.journalClass1-
dc.description.journalClass1-

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박성민PARK, SUNG MIN
Dept. Convergence IT Engineering
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