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Prediction of sleep duration with machine learning techniques based on BISQ survey in Korea children; A preliminary study

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dc.contributor.authorSEO, WON HEE-
dc.date.accessioned2021-08-27T14:04:56Z-
dc.date.available2021-08-27T14:04:56Z-
dc.date.created2021-04-22-
dc.date.issued2019-10-19-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/9298-
dc.publisherAustralasian Sleep Association and the Australasian Sleep Technologists Association-
dc.titlePrediction of sleep duration with machine learning techniques based on BISQ survey in Korea children; A preliminary study-
dc.title.alternativeEnglish-
dc.typeConference-
dc.contributor.affiliatedAuthorSEO, WON HEE-
dc.identifier.bibliographicCitationSleep DownUnder 2019-
dc.relation.isPartOfSleep DownUnder 2019-
dc.relation.isPartOfJournal of Sleep Research-
dc.citation.titleSleep DownUnder 2019-
dc.citation.conferencePlaceAT-
dc.citation.conferenceDate2019-10-16-
dc.type.rimsCONF-
dc.description.journalClass1-
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