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dc.contributor.authorBennett, Casey-
dc.date.accessioned2022-01-13T06:17:44Z-
dc.date.available2022-01-13T06:17:44Z-
dc.date.issued2020-05-
dc.identifier.citationBIOLOGICAL PSYCHIATRY, v. 87, no. 9, page. 150-150en_US
dc.identifier.issn0006-3223-
dc.identifier.issn1873-2402-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0006322320305102-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/167118-
dc.description.sponsorshipSupported By: Mood Challenge for ResearchKit, a New Venture Fund funded by the Robert Wood Johnson Foundationen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE INCen_US
dc.subjectKeystroke Dynamicsen_US
dc.subjectSmartphone Technologyen_US
dc.subjectMood Monitoringen_US
dc.subjectCircadian Rhythmsen_US
dc.subjectCognitive Agingen_US
dc.titleCharacterizing Passively Collected Real-World Keyboard Dynamics in Mood Disorders as a Function of Age and Time-of-Dayen_US
dc.typeArticleen_US
dc.relation.no9-
dc.relation.volume87-
dc.identifier.doihttps://doi.org/10.1016/j.biopsych.2020.02.398-
dc.relation.page150-150-
dc.relation.journalBIOLOGICAL PSYCHIATRY-
dc.contributor.googleauthorRashidisabet, Homa-
dc.contributor.googleauthorVesel, Claudia-
dc.contributor.googleauthorDemos, Alexander-
dc.contributor.googleauthorBennett, Casey-
dc.contributor.googleauthorZulueta, John-
dc.contributor.googleauthorStange, Jonathan-
dc.contributor.googleauthorDuffecy, Jennifer-
dc.contributor.googleauthorHussain, Faraz-
dc.contributor.googleauthorPiscitello, Andrea-
dc.contributor.googleauthorBark, John-
dc.relation.code2020047190-
dc.sector.campusS-
dc.sector.daehakSCHOOL OF INTELLIGENCE COMPUTING[S]-
dc.sector.departmentDEPARTMENT OF DATA SCIENCE-
dc.identifier.pidcabennet-
dc.identifier.researcherIDAAB-1542-2019-
dc.identifier.orcidhttps://orcid.org/0000-0003-2012-9250-
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