Named entity recognition for Chinese electronic medical records by integrating knowledge graph and ClinicalBERT
These findings confirm that the integration of domain specific language modeling, structured medical knowledge, and enriched character level features significantly enhances NER accuracy in Chinese EMRs. The proposed method shows strong potential for practical deployment in clinical information extraction systems.
Authors
- Zhengxiong Li (ORCID: https://orcid.org/0000-0003-1880-5096)
- Xiang Xu (ORCID: https://orcid.org/0000-0002-4388-1915)
- Kai Ma (ORCID: https://orcid.org/0000-0002-4341-8998)
- Hongwei Zhang (ORCID: https://orcid.org/0000-0001-7755-4958)
Institutions
- Xuzhou Medical College (CN)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-09-10
- DOI
- https://doi.org/10.3389/frai.2025.1634774
- Citations
- 1
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Xuzhou Science and Technology Program