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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 38303468)

  • 1. Entity relationship extraction from Chinese electronic medical records based on feature augmentation and cascade binary tagging framework.
    Lu X; Tong J; Xia S
    Math Biosci Eng; 2024 Jan; 21(1):1342-1355. PubMed ID: 38303468
    [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. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Application of cascade binary pointer tagging in joint entity and relation extraction of Chinese medical text.
    Chang H; Zan H; Guan T; Zhang K; Sui Z
    Math Biosci Eng; 2022 Jul; 19(10):10656-10672. PubMed ID: 36032011
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. An approach for medical event detection in Chinese clinical notes of electronic health records.
    Zhou X; Xiong H; Zeng S; Fu X; Wu J
    BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 2):54. PubMed ID: 30961587
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Task definition, annotated dataset, and supervised natural language processing models for symptom extraction from unstructured clinical notes.
    Steinkamp JM; Bala W; Sharma A; Kantrowitz JJ
    J Biomed Inform; 2020 Feb; 102():103354. PubMed ID: 31838210
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MLM-based typographical error correction of unstructured medical texts for named entity recognition.
    Lee EB; Heo GE; Choi CM; Song M
    BMC Bioinformatics; 2022 Nov; 23(1):486. PubMed ID: 36384464
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining.
    Gong L; Zhang Z; Chen S
    J Healthc Eng; 2020; 2020():8829219. PubMed ID: 33299537
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. [A customized method for information extraction from unstructured text data in the electronic medical records].
    Bao XY; Huang WJ; Zhang K; Jin M; Li Y; Niu CZ
    Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Apr; 50(2):256-263. PubMed ID: 29643524
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Detection of medical text semantic similarity based on convolutional neural network.
    Zheng T; Gao Y; Wang F; Fan C; Fu X; Li M; Zhang Y; Zhang S; Ma H
    BMC Med Inform Decis Mak; 2019 Aug; 19(1):156. PubMed ID: 31391038
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Constructing a Chinese electronic medical record corpus for named entity recognition on resident admit notes.
    Gao Y; Gu L; Wang Y; Wang Y; Yang F
    BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 2):56. PubMed ID: 30961596
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 6.