Machine Learning Prediction of Attachment Type From Bio-Psychological Factors in Patients With Depression
Our results provide the evidence base that may be utilized in clinical settings to predict the degree of attachment type using bio-psychological factors.
Authors
- Yoon Jae Cho (ORCID: https://orcid.org/0000-0002-6558-5703)
- Jooyoung Oh (ORCID: https://orcid.org/0000-0001-6721-399X)
- Jeong‐Ho Seok (ORCID: https://orcid.org/0000-0002-9402-7591)
- Jin Sun Ryu (ORCID: https://orcid.org/0000-0001-7268-3822)
- Eun Joo Kim (ORCID: https://orcid.org/0000-0003-3061-2051)
- Byung-Hoon Kim (ORCID: https://orcid.org/0000-0003-2501-038X)
Institutions
- Yonsei University (KR)
- Myongji Hospital (KR)
- Hanyang University (KR)
Publication Details
- Journal
- Psychiatry Investigation
- Published
- 2025-04-14
- DOI
- https://doi.org/10.30773/pi.2024.0392
- Citations
- 1
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- Korea Medical Device Development Fund
- National Research Foundation
- Ministry of Trade, Industry and Energy
- Ministry of Food and Drug Safety
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea