140 related articles for article (PubMed ID: 37876457)
1. CLART: A cascaded lattice-and-radical transformer network for Chinese medical named entity recognition.
Xiao Y; Ji Z; Li J; Zhu Q
Heliyon; 2023 Oct; 9(10):e20692. PubMed ID: 37876457
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Kcr-FLAT: A Chinese-Named Entity Recognition Model with Enhanced Semantic Information.
Deng Z; Tao Y; Lan R; Yang R; Wang X
Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850367
[TBL] [Abstract][Full Text] [Related]
4. Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records.
Fang A; Hu J; Zhao W; Feng M; Fu J; Feng S; Lou P; Ren H; Chen X
BMC Med Inform Decis Mak; 2022 Mar; 22(1):72. PubMed ID: 35321705
[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. 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]
7. Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations.
Li Y; Wang X; Hui L; Zou L; Li H; Xu L; Liu W
JMIR Med Inform; 2020 Sep; 8(9):e19848. PubMed ID: 32885786
[TBL] [Abstract][Full Text] [Related]
8. Multi-level semantic fusion network for Chinese medical named entity recognition.
Shi J; Sun M; Sun Z; Li M; Gu Y; Zhang W
J Biomed Inform; 2022 Sep; 133():104144. PubMed ID: 35878823
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network.
Xiong Y; Peng H; Xiang Y; Wong KC; Chen Q; Yan J; Tang B
J Biomed Inform; 2022 Apr; 128():104035. PubMed ID: 35217186
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree.
Wang C; Wang H; Zhuang H; Li W; Han S; Zhang H; Zhuang L
J Biomed Inform; 2020 Nov; 111():103583. PubMed ID: 33010427
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition.
Yang Z; Ma J; Chen H; Zhang J; Chang Y
IEEE Trans Neural Netw Learn Syst; 2022 Jun; PP():. PubMed ID: 35675246
[TBL] [Abstract][Full Text] [Related]
17. An imConvNet-based deep learning model for Chinese medical named entity recognition.
Zheng Y; Han Z; Cai Y; Duan X; Sun J; Yang W; Huang H
BMC Med Inform Decis Mak; 2022 Nov; 22(1):303. PubMed ID: 36411432
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Multiple Embeddings Enhanced Multi-Graph Neural Networks for Chinese Healthcare Named Entity Recognition.
Lee LH; Lu Y
IEEE J Biomed Health Inform; 2021 Jul; 25(7):2801-2810. PubMed ID: 33385314
[TBL] [Abstract][Full Text] [Related]
20. A hybrid approach for named entity recognition in Chinese electronic medical record.
Ji B; Liu R; Li S; Yu J; Wu Q; Tan Y; Wu J
BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 2):64. PubMed ID: 30961597
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
