[Construction of recognition models for subthreshold depression based on multiple machine learning algorithms and vocal emotional characteristics].
Analyzing vocal emotional characteristics allows effective identification of individuals with subthreshold depression. The AdaBoost and RF models show excellent performance for classifying subthreshold depression individuals, and may thus potentially offer valuable assistance in the clinical and research settings.
Authors
- Huangwei Lei
- Meimei Chen (ORCID: https://orcid.org/0000-0002-7506-0089)
- Yan Wang (ORCID: https://orcid.org/0000-0002-5344-1884)
- Fei Zhang (ORCID: https://orcid.org/0000-0002-0584-8962)
- Zhaoyang Yang (ORCID: https://orcid.org/0009-0004-3620-7115)
- R. Huang
Institutions
- Fujian University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- PubMed
- Published
- 2025-04-20
- DOI
- https://doi.org/10.12122/j.issn.1673-4254.2025.04.05
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article