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Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study (vol 21, e11029, 2019)

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dc.contributor.authorCho, Chul-Hyun-
dc.contributor.authorLee, Taek-
dc.contributor.authorKim, Min-Gwan-
dc.contributor.authorIn, Hoh Peter-
dc.contributor.authorKim, Leen-
dc.contributor.authorLee, Heon-Jeong-
dc.date.accessioned2021-09-01T04:43:23Z-
dc.date.available2021-09-01T04:43:23Z-
dc.date.created2021-06-18-
dc.date.issued2019-10-03-
dc.identifier.issn1438-8871-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/62547-
dc.languageEnglish-
dc.language.isoen-
dc.publisherJMIR PUBLICATIONS, INC-
dc.titleMood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study (vol 21, e11029, 2019)-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Heon-Jeong-
dc.identifier.doi10.2196/15966-
dc.identifier.scopusid2-s2.0-85072930607-
dc.identifier.wosid000488775800001-
dc.identifier.bibliographicCitationJOURNAL OF MEDICAL INTERNET RESEARCH, v.21, no.10-
dc.relation.isPartOfJOURNAL OF MEDICAL INTERNET RESEARCH-
dc.citation.titleJOURNAL OF MEDICAL INTERNET RESEARCH-
dc.citation.volume21-
dc.citation.number10-
dc.type.rimsART-
dc.type.docTypeCorrection-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaHealth Care Sciences & Services-
dc.relation.journalResearchAreaMedical Informatics-
dc.relation.journalWebOfScienceCategoryHealth Care Sciences & Services-
dc.relation.journalWebOfScienceCategoryMedical Informatics-
dc.subject.keywordAuthormood disorder-
dc.subject.keywordAuthorcircadian rhythm-
dc.subject.keywordAuthorprediction-
dc.subject.keywordAuthormachine learning-
dc.subject.keywordAuthordigital phenotype-
dc.subject.keywordAuthorwearable device-
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