Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation
The experimental results indicated that our proposed method successfully expanded the dataset and remarkably improved the performance of the model, effectively addressing the challenges of data acquisition, annotation difficulties, and insufficient model generalization performance.
Authors
- Zikun Huang (ORCID: https://orcid.org/0009-0004-2431-1265)
- Qin Dong (ORCID: https://orcid.org/0009-0007-9264-2076)
- Hao Zhang (ORCID: https://orcid.org/0000-0002-9032-701X)
- Hailing Huang (ORCID: https://orcid.org/0000-0003-2311-0897)
- Mengxiong Tang
- Jian Tang (ORCID: https://orcid.org/0009-0008-2957-4530)
- Hongzhen Xu (ORCID: https://orcid.org/0000-0002-9634-9009)
- P. W. Luo
Institutions
- 181st Hospital of Chinese People's Liberation Army (CN)
- Affiliated Hospital of Guilin Medical College (CN)
- Guilin University
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2024-11-21
- DOI
- https://doi.org/10.2196/60334
- Citations
- 2
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.69