BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

282 related articles for article (PubMed ID: 30961596)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 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 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. 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. 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]  

  • 8. Attention-based deep residual learning network for entity relation extraction in Chinese EMRs.
    Zhang Z; Zhou T; Zhang Y; Pang Y
    BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 2):55. PubMed ID: 30961580
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.
    Batbaatar E; Ryu KH
    Int J Environ Res Public Health; 2019 Sep; 16(19):. PubMed ID: 31569654
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. Medical assertion classification in Chinese EMRs using attention enhanced neural network.
    Zhang ZC; Zhang Y; Zhou T; Pang YL
    Math Biosci Eng; 2019 Mar; 16(4):1966-1977. PubMed ID: 31137195
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A unified framework of medical information annotation and extraction for Chinese clinical text.
    Zhu E; Sheng Q; Yang H; Liu Y; Cai T; Li J
    Artif Intell Med; 2023 Aug; 142():102573. PubMed ID: 37316096
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. [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]  

  • 20. Entity relation extraction from electronic medical records based on improved annotation rules and BiLSTM-CRF.
    Chen T; Hu Y
    Ann Transl Med; 2021 Sep; 9(18):1415. PubMed ID: 34733967
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.