Predicting the risk of preterm birth with machine learning and electronic health records in China
Authors
- H. Y. Jia (ORCID: https://orcid.org/0000-0002-1941-7119)
- Yanjun Hu (ORCID: https://orcid.org/0009-0002-1496-8154)
- Lushuai Qian (ORCID: https://orcid.org/0000-0001-5573-9847)
- Xiaoqing Li (ORCID: https://orcid.org/0000-0002-9693-8479)
- Chang Zhou (ORCID: https://orcid.org/0000-0002-6029-1132)
- Hongping Zhang (ORCID: https://orcid.org/0000-0002-6534-1952)
- Chunling Chen (ORCID: https://orcid.org/0000-0001-8381-8710)
Institutions
- Wenzhou Medical University (CN)
- Ruian People's Hospital (CN)
- Wenzhou City People's Hospital (CN)
- China Jiliang University (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1186/s12911-025-03254-7
- Citations
- 2
- Primary Topic
- Preterm Birth and Chorioamnionitis
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province