Social anxiety prediction model for nursing students based on machine learning: a cross-sectional survey
Our findings suggest that ML models, specifically random forests, can best predict the risk of social anxiety among nursing students.
Authors
- Yelin Huang (ORCID: https://orcid.org/0000-0002-2514-0144)
- Pingping Xu (ORCID: https://orcid.org/0000-0002-3221-2193)
- Lingsheng Kong
- Fang Wang (ORCID: https://orcid.org/0000-0002-6788-9444)
- Fan Yang (ORCID: https://orcid.org/0000-0003-2311-8426)
- Li Liu (ORCID: https://orcid.org/0000-0003-4002-7497)
Institutions
- Jinan Maternity And Care Hospital (CN)
- Xianning Central Hospital (CN)
- Hubei University of Science and Technology (CN)
- Gaochun People's Hospital (CN)
- Wuhan Children's Hospital (CN)
- Shaanxi Provincial Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-12-12
- DOI
- https://doi.org/10.3389/fpsyt.2025.1721618
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00