Trajectory on postpartum depression of Chinese women and the risk prediction models: A machine-learning based three-wave follow-up research
There is a slight decrease in PPD rates over six months, yet the prevalence remains high. This underscores the need for early and ongoing mental health support for new mothers. Our study highlights the efficacy of machine learning in enhancing PPD risk assessment and tailoring intervention strategies, paving the way for more personalized healthcare approaches in postpartum care.
Authors
- Jianhua Ren (ORCID: https://orcid.org/0000-0003-1109-8843)
- Yujia Song (ORCID: https://orcid.org/0000-0002-9657-0379)
- Guan Wang (ORCID: https://orcid.org/0000-0001-9974-4867)
- Peng Chen (ORCID: https://orcid.org/0000-0001-5221-3655)
- Ping Yan (ORCID: https://orcid.org/0000-0003-3394-7236)
- Jie Xiang (ORCID: https://orcid.org/0000-0001-6601-5481)
- Yi Liu (ORCID: https://orcid.org/0000-0001-7298-9493)
- Lin Wei
- Yu Wang (ORCID: https://orcid.org/0000-0002-8833-9564)
Institutions
- Xihua University (CN)
- Sichuan University (CN)
Publication Details
- Journal
- Journal of Affective Disorders
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1016/j.jad.2024.08.074
- Citations
- 14
- Primary Topic
- Maternal Mental Health During Pregnancy and Postpartum
- Type
- article
- Field-Weighted Citation Impact
- 7.60
Funders
- Department of Science and Technology of Sichuan Province