Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China
The ML-based model effectively predicts depressive symptoms in women, identifying insomnia, anxiety symptoms, age, chronic diseases, and exercise as key predictors, offering a practical tool for early detection and intervention.
Authors
- Junlong Tao
- Bo Bi (ORCID: https://orcid.org/0000-0002-5756-3133)
- Yuting Wei (ORCID: https://orcid.org/0000-0001-7869-7037)
- Jiamin Chen (ORCID: https://orcid.org/0000-0003-0538-5520)
- Qiang Zhou (ORCID: https://orcid.org/0000-0002-8229-0966)
- Shibin Wang (ORCID: https://orcid.org/0000-0003-4706-5138)
- M. V. Raghavendra Rao
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Guangdong Academy of Medical Sciences (CN)
- Hainan Medical University (CN)
Publication Details
- Journal
- World Journal of Psychiatry
- Published
- 2025-08-08
- DOI
- https://doi.org/10.5498/wjp.v15.i8.106622
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 0.00