625 related articles for article (PubMed ID: 37163343)
1. 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]
2. Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study.
Sun Y; Gao D; Shen X; Li M; Nan J; Zhang W
JMIR Med Inform; 2022 Apr; 10(4):e35606. PubMed ID: 35451969
[TBL] [Abstract][Full Text] [Related]
3. 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]
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. Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation.
Zhang Z; Zhu L; Yu P
JMIR Med Inform; 2020 May; 8(5):e17637. PubMed ID: 32364514
[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. Model-based clinical note entity recognition for rheumatoid arthritis using bidirectional encoder representation from transformers.
Li M; Liu F; Zhu J; Zhang R; Qin Y; Gao D
Quant Imaging Med Surg; 2022 Jan; 12(1):184-195. PubMed ID: 34993070
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. A BIGRU-Based Stacked Attention Network for Biomedical Named Entity Recognition with Chinese EMRs.
Chen JQ; Zhu ZC; Zhang F; Zeng K; Jiang HZ; Cheng ZN
Stud Health Technol Inform; 2023 Nov; 308():757-767. PubMed ID: 38007808
[TBL] [Abstract][Full Text] [Related]
10. Clinical named entity recognition for percutaneous coronary intervention surgical information with hybrid neural network.
Wang L; Zheng Y; Chen Y; Xu H; Li F
Rev Sci Instrum; 2024 Jun; 95(6):. PubMed ID: 38921058
[TBL] [Abstract][Full Text] [Related]
11. Automatic knowledge extraction from Chinese electronic medical records and rheumatoid arthritis knowledge graph construction.
Liu F; Liu M; Li M; Xin Y; Gao D; Wu J; Zhu J
Quant Imaging Med Surg; 2023 Jun; 13(6):3873-3890. PubMed ID: 37284084
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Clinical Named Entity Recognition From Chinese Electronic Health Records via Machine Learning Methods.
Zhang Y; Wang X; Hou Z; Li J
JMIR Med Inform; 2018 Dec; 6(4):e50. PubMed ID: 30559093
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. Intelligent diagnosis with Chinese electronic medical records based on convolutional neural networks.
Li X; Wang H; He H; Du J; Chen J; Wu J
BMC Bioinformatics; 2019 Feb; 20(1):62. PubMed ID: 30709336
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Chinese text classification by combining Chinese-BERTology-wwm and GCN.
Xu X; Chang Y; An J; Du Y
PeerJ Comput Sci; 2023; 9():e1544. PubMed ID: 37705631
[TBL] [Abstract][Full Text] [Related]
20. A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation.
Stojanov R; Popovski G; Cenikj G; Koroušić Seljak B; Eftimov T
J Med Internet Res; 2021 Aug; 23(8):e28229. PubMed ID: 34383671
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
