A method for predicting postpartum depression via an ensemble neural network model
The research results show that the proposed model effectively improves the prediction performance of PPD, which can provide guiding suggestions for relevant medical staff and postpartum women in clinical decision-making. In the future, plans include collecting more disease datasets, using the proposed model to predict these diseases, and constructing an online disease prediction platform to embed the proposed model, which will help with real-time disease prediction.
Authors
- Dongqin Zhou (ORCID: https://orcid.org/0009-0008-7550-8120)
- Yangyang Lin
Institutions
- Zhejiang DongFang Vocational and Technical College (CN)
- Wenzhou City People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-04-14
- DOI
- https://doi.org/10.3389/fpubh.2025.1571522
- Citations
- 1
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 1.88