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Analyzing Suicide-Ideation Survey to Identify High-Risk Groups: A Data Mining Approach

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dc.contributor.author김나영-
dc.contributor.author홍지원-
dc.contributor.author김상욱-
dc.date.accessioned2022-07-04T07:56:37Z-
dc.date.available2022-07-04T07:56:37Z-
dc.date.created2022-05-23-
dc.date.issued2017-02-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/138281-
dc.language영어-
dc.language.isoen-
dc.publisherICGHIT-
dc.titleAnalyzing Suicide-Ideation Survey to Identify High-Risk Groups: A Data Mining Approach-
dc.typeConference-
dc.contributor.affiliatedAuthor김상욱-
dc.identifier.bibliographicCitationInternational Conference on Green and Human Information Technology (ICGHIT) 2017, pp.86 - 88-
dc.relation.isPartOfInternational Conference on Green and Human Information Technology (ICGHIT) 2017-
dc.relation.isPartOfInternational Conference on Green and Human Information Technology (ICGHIT) 2017-
dc.citation.titleInternational Conference on Green and Human Information Technology (ICGHIT) 2017-
dc.citation.startPage86-
dc.citation.endPage88-
dc.citation.conferencePlaceCC-
dc.citation.conferencePlaceHangzhou, China-
dc.citation.conferenceDate2017-02-15-
dc.type.rimsCONF-
dc.description.journalClass2-
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