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.
141 related articles for article (PubMed ID: 37420474)
1. Nested Named Entity Recognition Based on Dual Stream Feature Complementation. Liao T; Huang R; Zhang S; Duan S; Chen Y; Ma W; Chen X Entropy (Basel); 2022 Oct; 24(10):. PubMed ID: 37420474 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Research on named entity recognition of adverse drug reactions based on NLP and deep learning. Wei J; Hu T; Dai J; Wang Z; Han P; Huang W Front Pharmacol; 2023; 14():1121796. PubMed ID: 37332351 [No Abstract] [Full Text] [Related]
5. Chinese Clinical Named Entity Recognition From Electronic Medical Records Based on Multisemantic Features by Using Robustly Optimized Bidirectional Encoder Representation From Transformers Pretraining Approach Whole Word Masking and Convolutional Neural Networks: Model Development and Validation. Wang W; Li X; Ren H; Gao D; Fang A JMIR Med Inform; 2023 May; 11():e44597. PubMed ID: 37163343 [TBL] [Abstract][Full Text] [Related]
6. Biomedical named entity recognition based on multi-cross attention feature fusion. Zheng D; Han R; Yu F; Li Y PLoS One; 2024; 19(5):e0304329. PubMed ID: 38805478 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. Language model based on deep learning network for biomedical named entity recognition. Hou G; Jian Y; Zhao Q; Quan X; Zhang H Methods; 2024 Jun; 226():71-77. PubMed ID: 38641084 [TBL] [Abstract][Full Text] [Related]
11. MLNet: a multi-level multimodal named entity recognition architecture. Zhai H; Lv X; Hou Z; Tong X; Bu F Front Neurorobot; 2023; 17():1181143. PubMed ID: 37408584 [TBL] [Abstract][Full Text] [Related]
12. Entity recognition of Chinese medical text based on multi-head self-attention combined with BILSTM-CRF. Li C; Ma K Math Biosci Eng; 2022 Jan; 19(3):2206-2218. PubMed ID: 35240782 [TBL] [Abstract][Full Text] [Related]
13. Named Entity Recognition of Medical Text Based on the Deep Neural Network. Yang T; He Y; Yang N J Healthc Eng; 2022; 2022():3990563. PubMed ID: 35295179 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Candidate region aware nested named entity recognition. Jiang D; Ren H; Cai Y; Xu J; Liu Y; Leung HF Neural Netw; 2021 Oct; 142():340-350. PubMed ID: 34102545 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Bi-directional context-aware network for the nested named entity recognition. Li Y; Liao N; Yan H; Zhang Y; Wang X Sci Rep; 2024 Jul; 14(1):16106. PubMed ID: 38997330 [TBL] [Abstract][Full Text] [Related]
18. A multitask bi-directional RNN model for named entity recognition on Chinese electronic medical records. Chowdhury S; Dong X; Qian L; Li X; Guan Y; Yang J; Yu Q BMC Bioinformatics; 2018 Dec; 19(Suppl 17):499. PubMed ID: 30591015 [TBL] [Abstract][Full Text] [Related]
19. Deep learning-based methods for natural hazard named entity recognition. Sun J; Liu Y; Cui J; He H Sci Rep; 2022 Mar; 12(1):4598. PubMed ID: 35301387 [TBL] [Abstract][Full Text] [Related]
20. Named entity recognition for Chinese based on global pointer and adversarial training. Li H; Cheng M; Yang Z; Yang L; Chua Y Sci Rep; 2023 Feb; 13(1):3242. PubMed ID: 36828907 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]