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

researchr

You are not signed in
Sign in
Sign up

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]

This author has not been identified. Look up 'Jie Cai' in GoogleThis author has not been identified. Look up 'Shenglin Chen' in GoogleThis author has not been identified. Look up 'Siyun Guo' in GoogleThis author has not been identified. Look up 'Sui-Dong Wang' in GoogleThis author has not been identified. Look up 'Lintong Li' in GoogleThis author has not been identified. Look up 'Xiaotong Liu' in GoogleThis author has not been identified. Look up 'Keming Zheng' in GoogleThis author has not been identified. Look up 'Yudong Liu' in GoogleThis author has not been identified. Look up 'Shiling Chen' in Google

runs on WebDSL