Development of a time‐dependent random survival forest model for predicting <scp>FGR</scp> based on prenatal screening date
The RSF model outperforms traditional models in accuracy and flexibility, providing dynamic FGR risk predictions and supporting timely clinical intervention.
Authors
- Yi‐Yang Zhu (ORCID: https://orcid.org/0009-0009-6479-1212)
- Peng Zhang (ORCID: https://orcid.org/0000-0002-9603-8454)
- Yan Ruan (ORCID: https://orcid.org/0000-0003-1987-3656)
Institutions
- Wenzhou Medical University (CN)
- Zhejiang Taizhou Hospital (CN)
Publication Details
- Journal
- International Journal of Gynecology & Obstetrics
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1002/ijgo.70611
- Primary Topic
- Prenatal Screening and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00