Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest model
Our study has identified a set of significant omics and laboratory features for PE prediction. The established models yielded high prediction performance for preeclampsia risk from clinical, multi-omics and laboratory information.
Authors
- Zhongzhe Li (ORCID: https://orcid.org/0000-0002-9515-1148)
- Zhiguang Zhao (ORCID: https://orcid.org/0000-0002-9901-0940)
- Shunyao Wang
- Peirun Tian
- Zhixu Qiu (ORCID: https://orcid.org/0000-0003-1979-5272)
- Ruyun Gao (ORCID: https://orcid.org/0009-0004-3683-8734)
- Xiaohong Ruan (ORCID: https://orcid.org/0009-0009-6287-9376)
- Wenzhi Yang (ORCID: https://orcid.org/0009-0001-5610-7355)
- Huahua Li (ORCID: https://orcid.org/0000-0002-5613-7677)
- Gefei Xiao (ORCID: https://orcid.org/0000-0002-6990-8901)
- Guixue Hou
- Suihua Feng
- Sufen Zhang (ORCID: https://orcid.org/0000-0003-4660-3029)
- Xiao Zhang (ORCID: https://orcid.org/0000-0001-6572-4411)
- Jia Li (ORCID: https://orcid.org/0000-0003-1500-869X)
- Liang Lin (ORCID: https://orcid.org/0000-0003-2248-3755)
- Rui Zhang (ORCID: https://orcid.org/0000-0003-3740-8352)
- Jian‐Guo Zhang (ORCID: https://orcid.org/0009-0003-0655-3810)
- Weiping Chen (ORCID: https://orcid.org/0000-0001-5658-1914)
- Si Zhou
- Liqing Hu (ORCID: https://orcid.org/0000-0001-5332-2618)
- Qun Zhang (ORCID: https://orcid.org/0000-0003-0558-7544)
- Jie Qin (ORCID: https://orcid.org/0000-0002-5792-5464)
- Qiang Zhao
- Zhuo Diao
- Lijian Zhao (ORCID: https://orcid.org/0009-0002-5472-0639)
- Wenqiu Xu
- Wuyan Huang
Institutions
- BGI Group (China) (CN)
- Hebei Medical University (CN)
- Weihai Maternal and Child Health Hospital (CN)
- Jiangmen Central Hospital (CN)
- Hebei Science and Technology Department (CN)
- Jiangmen Polytechnic (CN)
Publication Details
- Journal
- BMC Pregnancy and Childbirth
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1186/s12884-025-07582-4
- Citations
- 6
- Primary Topic
- Pregnancy and preeclampsia studies
- Type
- article
- Field-Weighted Citation Impact
- 12.34