Fusion of multiple self-diagnostic questionnaires into optimal diagnostic cut-offs and factor analysis for depression characterization of the Korean university student group
We identified optimal cut-off regions and generalized factor analysis in the fusion space, which can provide more reliable and trustworthy diagnoses. These can serve as a self-diagnostic tool for reliably identifying the depression characteristics of a focused population as well as effectively linking individuals and psychiatrists as an intermediary.
Authors
- Junyeop Cha (ORCID: https://orcid.org/0009-0005-5153-9668)
- Young Tak Jo (ORCID: https://orcid.org/0000-0002-0561-2503)
- Sukhan Lee (ORCID: https://orcid.org/0000-0001-7052-8925)
- Eunil Park (ORCID: https://orcid.org/0000-0002-3177-3538)
- Jung Sun Lee (ORCID: https://orcid.org/0000-0003-2171-2720)
- Soojin Lee (ORCID: https://orcid.org/0000-0002-0383-5025)
Institutions
- Ulsan College (KR)
- Hallym University (KR)
- Asan Medical Center (KR)
- University of Ulsan (KR)
- Kangdong Sacred Heart Hospital (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1186/s12888-024-06295-w
- Citations
- 1
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 0.51
Funders
- Sungkyunkwan University
- Ministry of Health and Welfare
- Korea Health Industry Development Institute
- Ministry of Science and ICT, South Korea
- National Institutes of Health
- Korea National Institute of Health
- Institute for Information and Communications Technology Promotion