These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
228 related articles for article (PubMed ID: 33737207)
1. Incorporating multi-level CNN and attention mechanism for Chinese clinical named entity recognition. Kong J; Zhang L; Jiang M; Liu T J Biomed Inform; 2021 Apr; 116():103737. PubMed ID: 33737207 [TBL] [Abstract][Full Text] [Related]
2. Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF. Tang B; Wang X; Yan J; Chen Q BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 3):74. PubMed ID: 30943972 [TBL] [Abstract][Full Text] [Related]
3. Chinese clinical named entity recognition with radical-level feature and self-attention mechanism. Yin M; Mou C; Xiong K; Ren J J Biomed Inform; 2019 Oct; 98():103289. PubMed ID: 31541715 [TBL] [Abstract][Full Text] [Related]
4. Temporal indexing of medical entity in Chinese clinical notes. Liu Z; Wang X; Chen Q; Tang B; Xu H BMC Med Inform Decis Mak; 2019 Jan; 19(Suppl 1):17. PubMed ID: 30700331 [TBL] [Abstract][Full Text] [Related]
5. A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records. Cai X; Dong S; Hu J BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 2):65. PubMed ID: 30961622 [TBL] [Abstract][Full Text] [Related]
6. An attention-based deep learning model for clinical named entity recognition of Chinese electronic medical records. Li L; Zhao J; Hou L; Zhai Y; Shi J; Cui F BMC Med Inform Decis Mak; 2019 Dec; 19(Suppl 5):235. PubMed ID: 31801540 [TBL] [Abstract][Full Text] [Related]
7. Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition. Cho M; Ha J; Park C; Park S J Biomed Inform; 2020 Mar; 103():103381. PubMed ID: 32004641 [TBL] [Abstract][Full Text] [Related]
8. Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models. Ji B; Li S; Yu J; Ma J; Tang J; Wu Q; Tan Y; Liu H; Ji Y J Biomed Inform; 2020 Apr; 104():103395. PubMed ID: 32109551 [TBL] [Abstract][Full Text] [Related]
9. MMBERT: a unified framework for biomedical named entity recognition. Fu L; Weng Z; Zhang J; Xie H; Cao Y Med Biol Eng Comput; 2024 Jan; 62(1):327-341. PubMed ID: 37833517 [TBL] [Abstract][Full Text] [Related]
10. Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF. An Y; Xia X; Chen X; Wu FX; Wang J Artif Intell Med; 2022 May; 127():102282. PubMed ID: 35430042 [TBL] [Abstract][Full Text] [Related]
11. Entity recognition from clinical texts via recurrent neural network. Liu Z; Yang M; Wang X; Chen Q; Tang B; Wang Z; Xu H BMC Med Inform Decis Mak; 2017 Jul; 17(Suppl 2):67. PubMed ID: 28699566 [TBL] [Abstract][Full Text] [Related]
12. Cohort selection for clinical trials using hierarchical neural network. Xiong Y; Shi X; Chen S; Jiang D; Tang B; Wang X; Chen Q; Yan J J Am Med Inform Assoc; 2019 Nov; 26(11):1203-1208. PubMed ID: 31305921 [TBL] [Abstract][Full Text] [Related]
13. A multi-layer soft lattice based model for Chinese clinical named entity recognition. Guo S; Yang W; Han L; Song X; Wang G BMC Med Inform Decis Mak; 2022 Jul; 22(1):201. PubMed ID: 35908055 [TBL] [Abstract][Full Text] [Related]
14. Medical Named Entity Extraction from Chinese Resident Admit Notes Using Character and Word Attention-Enhanced Neural Network. Gao Y; Wang Y; Wang P; Gu L Int J Environ Res Public Health; 2020 Mar; 17(5):. PubMed ID: 32131522 [TBL] [Abstract][Full Text] [Related]
15. Adversarial training based lattice LSTM for Chinese clinical named entity recognition. Zhao S; Cai Z; Chen H; Wang Y; Liu F; Liu A J Biomed Inform; 2019 Nov; 99():103290. PubMed ID: 31557528 [TBL] [Abstract][Full Text] [Related]
16. Chinese Clinical Named Entity Recognition Using Residual Dilated Convolutional Neural Network With Conditional Random Field. Qiu J; Zhou Y; Wang Q; Ruan T; Gao J IEEE Trans Nanobioscience; 2019 Jul; 18(3):306-315. PubMed ID: 30946674 [TBL] [Abstract][Full Text] [Related]
17. Chinese medical entity recognition based on the dual-branch TENER model. Peng H; Zhang Z; Liu D; Qin X BMC Med Inform Decis Mak; 2023 Jul; 23(1):136. PubMed ID: 37488521 [TBL] [Abstract][Full Text] [Related]
18. Named entity recognition of Chinese electronic medical records based on a hybrid neural network and medical MC-BERT. Chen P; Zhang M; Yu X; Li S BMC Med Inform Decis Mak; 2022 Dec; 22(1):315. PubMed ID: 36457119 [TBL] [Abstract][Full Text] [Related]
19. Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition. Wang Q; Zhou Y; Ruan T; Gao D; Xia Y; He P J Biomed Inform; 2019 Apr; 92():103133. PubMed ID: 30818005 [TBL] [Abstract][Full Text] [Related]
20. Integrating Language Model and Reading Control Gate in BLSTM-CRF for Biomedical Named Entity Recognition. Li L; Jiang Y IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(3):841-846. PubMed ID: 30183643 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]