A framework for normalized extraction of fine-grained traditional Chinese medicine symptom entities and relations
The proposed fine-grained symptom annotation system significantly enhances the utilization of symptom information. It effectively mitigates symptom nesting issues, supports comprehensive association, and facilitates structured output, thereby providing robust data for symptom standardization and precise syndrome differentiation.
Authors
- Lai Wei (ORCID: https://orcid.org/0000-0002-7248-3828)
- Hui Ye (ORCID: https://orcid.org/0000-0002-0734-9059)
- Jing Tian (ORCID: https://orcid.org/0000-0003-3191-3542)
- X. Gou (ORCID: https://orcid.org/0009-0006-0487-660X)
- Jeffrey Yao (ORCID: https://orcid.org/0000-0003-0758-083X)
- Siqi Wang (ORCID: https://orcid.org/0000-0002-5514-6336)
- Cao Dong
- Yansheng Gao (ORCID: https://orcid.org/0000-0002-9741-217X)
- C. Zhou (ORCID: https://orcid.org/0000-0002-9034-4426)
- Yi Jun
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Guangdong Pharmaceutical University (CN)
- Nanfang Hospital (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-12-06
- DOI
- https://doi.org/10.1186/s12911-025-03257-4
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00