Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation
Our work provided an intelligent approach to extracting clinical evidence for TCM RCT data. Our model can help physicians reduce the time spent reading journals and rapidly speed up the screening of clinical trial evidence to help generate accurate clinical reference guidelines. Additionally, we hope the structured clinical evidence and structured knowledge extracted from this study will help other researchers build large language models in TCM.
Authors
- Dongran Han (ORCID: https://orcid.org/0000-0003-3630-5036)
- Heyuan Liu
- Zhongzhi Luan (ORCID: https://orcid.org/0000-0002-7186-0556)
- Yixing Liu (ORCID: https://orcid.org/0000-0002-4679-2934)
- Jiaxing Qi
- Yizhen Li (ORCID: https://orcid.org/0000-0003-4710-9049)
Institutions
- Beijing University of Chinese Medicine (CN)
- Beihang University (CN)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2024-08-15
- DOI
- https://doi.org/10.3389/frai.2024.1454945
- Citations
- 6
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 1.40