RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records

Jie Cai, Shenglin Chen, Siyun Guo, Sui-Dong Wang, Lintong Li, Xiaotong Liu, Keming Zheng, Yudong Liu, Shiling Chen. RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records. BMC Med. Inf. & Decision Making, 23(1):126, December 2023. [doi]

@article{CaiCGWLLZLC23,
  title = {RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records},
  author = {Jie Cai and Shenglin Chen and Siyun Guo and Sui-Dong Wang and Lintong Li and Xiaotong Liu and Keming Zheng and Yudong Liu and Shiling Chen},
  year = {2023},
  month = {December},
  doi = {10.1186/s12911-023-02239-8},
  url = {https://doi.org/10.1186/s12911-023-02239-8},
  researchr = {https://researchr.org/publication/CaiCGWLLZLC23},
  cites = {0},
  citedby = {0},
  journal = {BMC Med. Inf. & Decision Making},
  volume = {23},
  number = {1},
  pages = {126},
}