Development and validation of an interpretable machine learning model and online web-based calculator based on social-ecosystem theory for early prediction of postpartum depression: a longitudinal study
This study developed an interpretable risk prediction model for early PPD, which may help healthcare providers to identify and implement intervention measures early, preventing the occurrence of PPD.
Authors
- Guofang Kuang
- Chongyu Yue (ORCID: https://orcid.org/0000-0001-8971-1439)
- Xinwei Zhang
- Peng Wang (ORCID: https://orcid.org/0000-0002-5397-9115)
- Xiaojing Wang (ORCID: https://orcid.org/0000-0002-6150-3918)
- Yanxia Zhang (ORCID: https://orcid.org/0000-0002-6610-5265)
- Min Wang (ORCID: https://orcid.org/0000-0002-6306-2589)
- Huawei Li (ORCID: https://orcid.org/0000-0001-8082-4218)
- Xiaoli Han
- Ping Tan
- Shusen Lin
- Shanshan Huan
Institutions
- Qingdao University (CN)
- Affiliated Hospital of Qingdao University (CN)
- Qingdao Municipal Hospital (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3389/fpubh.2025.1685305
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Shandong Province