Author:
Li Meng,Gao Chunrong,Zhang Kuang,Zhou Huajian,Ying Jing
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Reference30 articles.
1. Chuanhai D, Jiajun Z, Chengqing Z et al (2016) Character based LSTM-CRF with radical-level features for Chinese named entity recognition[C]//Natural Language Understanding and Intelligent Applications - 5th Conference on Natural Language Processing and Chinese Computing( NLPCC). Kunming: Springer Press, 239-250
2. Heurix J, Fenz S, Rella A et al (2016) Recognition and pseudonymisation of medical records for secondary use. Med Biol Eng Comput 54:371–383. https://doi.org/10.1007/s11517-015-1322-7
3. Feng Y, Sun L, Zhang J (2005) Early results for Chinese named entity recognition using conditional random fields model, HMM and maximum entropy [C]//International Conference on Natural Language Processing and Knowledge Engineering.Wuhan,China: IEEE Press, 549–552
4. Cen X, Yuan J, Pan C et al (2021) Contextual embedding bootstrapped neural network for medical information extraction of coronary artery disease records. Med Biol Eng Comput 59:1111–1121. https://doi.org/10.1007/s11517-021-02359-1
5. Cocos A, Fiks AG, Masino AJ (2017) Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts[J]. J Am Med Inform Assoc: JAMIA 24(4):813–821. https://doi.org/10.1093/jamia/ocw180