Identifying the key influencing factors of psychological birth trauma in primiparous women with interpretable machine learning
Interpretable machine learning prediction models can identify the key influencing factors of psychological birth trauma in primiparous women. SHAP and ALE analyses based on the Multilayer Perceptron Regression model can help healthcare providers understand the complex decision-making logic within a prediction model. This study provides a scientific basis for the early prevention and personalized intervention of psychological birth trauma in primiparous women.
Authors
- Min Tan (ORCID: https://orcid.org/0000-0002-9123-3445)
- Lanjun Luo (ORCID: https://orcid.org/0000-0002-8786-6979)
- Lijun Cui (ORCID: https://orcid.org/0000-0002-0468-4345)
- Xuemei Wei
- Hangli Shu
- Siyuan Li (ORCID: https://orcid.org/0009-0001-7751-0389)
- Fengling Li (ORCID: https://orcid.org/0000-0002-3432-6215)
- Yuze Wu (ORCID: https://orcid.org/0009-0007-9199-3069)
Institutions
- North Sichuan Medical University (CN)
- Affiliated Hospital of North Sichuan Medical College (CN)
Publication Details
- Journal
- International Journal of Nursing Sciences
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1016/j.ijnss.2025.04.008
- Primary Topic
- Grief, Bereavement, and Mental Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00