A hybrid self-supervised model predicting life satisfaction in South Korea
Our proposed model offers a transparent understanding of AI decisions, making it a valuable tool for professionals in the social sciences and psychology, even if they lack expertise in data analytics.
Authors
- Haewon Byeon (ORCID: https://orcid.org/0000-0002-3363-390X)
- Hung Viet Nguyen (ORCID: https://orcid.org/0000-0002-6981-0891)
Institutions
- Inje University (KR)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2024-10-17
- DOI
- https://doi.org/10.3389/fpubh.2024.1445864
- Citations
- 2
- Primary Topic
- Psychological Well-being and Life Satisfaction
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- National Research Foundation
- National Research Foundation of Korea