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Comparison of machine learning algorithms for beck depression inventory measured depression status classification

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dc.contributor.coauthorOkan, A
dc.contributor.departmentDepartment of Psychology
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentSchool of Medicine
dc.contributor.departmentGraduate School of Health Sciences
dc.contributor.kuauthorBallı, Muhammed
dc.contributor.kuauthorGürsan, Necmettin Ömer
dc.contributor.kuauthorGülgöz, Sami
dc.contributor.kuauthorEser, Hale Yapıcı
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF HEALTH SCIENCES
dc.date.accessioned2024-12-29T09:37:23Z
dc.date.issued2023
dc.description.indexedbyWoS
dc.description.issueSupplement 1
dc.description.openaccessgold, Green Accepted
dc.description.publisherscopeInternational
dc.description.volume66
dc.identifier.doi10.1192/j.eurpsy.2023.902
dc.identifier.eissn1778-3585
dc.identifier.issn0924-9338
dc.identifier.quartileQ1
dc.identifier.urihttps://doi.org/10.1192/j.eurpsy.2023.902
dc.identifier.urihttps://hdl.handle.net/20.500.14288/22358
dc.identifier.wos1060676601179
dc.keywordsPsychiatry
dc.languageen
dc.publisherCambridge Univ Press
dc.sourceEuropean Psychiatry
dc.subjectEngineering
dc.subjectPsychology
dc.subjectMedicine
dc.titleComparison of machine learning algorithms for beck depression inventory measured depression status classification
dc.typeMeeting abstract
dspace.entity.typePublication
local.contributor.kuauthorBallı, Muhammed
local.contributor.kuauthorGürsan, Necmettin Ömer
local.contributor.kuauthorGülgöz, Sami
local.contributor.kuauthorEser, Hale Yapıcı
local.publication.orgunit1College of Social Sciences and Humanities
local.publication.orgunit2Department of Psychology;Department of Computer Engineering
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