Assessing Hwa-byung Vulnerability Using the Hwa-byung Personality Scale: a comparative study of machine learning approaches
Machine learning models, particularly the ensemble method, show capabilities promising for screening individuals with high HB symptom scores based on personality traits, potentially facilitating early referral for clinical evaluation. These models can improve the efficiency and accuracy of the HB risk assessment in clinical settings, potentially aiding early intervention and prevention strategies.
Authors
- Chan‐Young Kwon (ORCID: https://orcid.org/0000-0003-0068-9904)
- Seok Chan Jeong (ORCID: https://orcid.org/0000-0002-8696-4489)
- Sung-Hee Kim (ORCID: https://orcid.org/0000-0002-9769-0516)
- Boram Lee (ORCID: https://orcid.org/0000-0003-1679-0644)
- Jong Woo Kim (ORCID: https://orcid.org/0000-0002-4156-5193)
Institutions
- Dong-Eui University (KR)
- Korea Institute of Oriental Medicine (KR)
- Kyung Hee University Hospital at Gangdong (KR)
Publication Details
- Journal
- Journal of pharmacopuncture
- Published
- 2024-12-18
- DOI
- https://doi.org/10.3831/kpi.2024.27.4.358
- Primary Topic
- Resilience and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Health and Welfare
- Korea Health Industry Development Institute
- Institute for Information and Communications Technology Promotion
- National Supercomputing Center, Korea Institute of Science and Technology Information
- Division of Human Resource Development