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 *

179 related articles for article (PubMed ID: 31259033)

  • 1. A Domain Knowledge-Enhanced LSTM-CRF Model for Disease Named Entity Recognition.
    Ling Y; Hasan SA; Farri O; Chen Z; van Ommering R; Yee C; Dimitrova N
    AMIA Jt Summits Transl Sci Proc; 2019; 2019():761-770. PubMed ID: 31259033
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF.
    Tang B; Wang X; Yan J; Chen Q
    BMC Med Inform Decis Mak; 2019 Apr; 19(Suppl 3):74. PubMed ID: 30943972
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models.
    Tang B; Jiang D; Chen Q; Wang X; Yan J; Shen Y
    AMIA Annu Symp Proc; 2019; 2019():857-863. PubMed ID: 32308882
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes.
    Syed M; Sexton K; Greer M; Syed S; VanScoy J; Kawsar F; Olson E; Patel K; Erwin J; Bhattacharyya S; Zozus M; Prior F
    Biomed Eng Syst Technol Int Jt Conf BIOSTEC Revis Sel Pap; 2022 Feb; 5():640-647. PubMed ID: 35386186
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Adversarial active learning for the identification of medical concepts and annotation inconsistency.
    Yu G; Yang Y; Wang X; Zhen H; He G; Li Z; Zhao Y; Shu Q; Shu L
    J Biomed Inform; 2020 Aug; 108():103481. PubMed ID: 32687985
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Character level and word level embedding with bidirectional LSTM - Dynamic recurrent neural network for biomedical named entity recognition from literature.
    Gajendran S; D M; Sugumaran V
    J Biomed Inform; 2020 Dec; 112():103609. PubMed ID: 33122119
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Character-level neural network for biomedical named entity recognition.
    Gridach M
    J Biomed Inform; 2017 Jun; 70():85-91. PubMed ID: 28502909
    [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. 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]  

  • 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. 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]  

  • 14. SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields.
    Xu K; Zhou Z; Gong T; Hao T; Liu W
    BMC Med Inform Decis Mak; 2018 Dec; 18(Suppl 5):114. PubMed ID: 30526592
    [TBL] [Abstract][Full Text] [Related]  

  • 15. D3NER: biomedical named entity recognition using CRF-biLSTM improved with fine-tuned embeddings of various linguistic information.
    Dang TH; Le HQ; Nguyen TM; Vu ST
    Bioinformatics; 2018 Oct; 34(20):3539-3546. PubMed ID: 29718118
    [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. Evaluation of clinical named entity recognition methods for Serbian electronic health records.
    Kaplar A; Stošović M; Kaplar A; Brković V; Naumović R; Kovačević A
    Int J Med Inform; 2022 Aug; 164():104805. PubMed ID: 35653828
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving the Named Entity Recognition of Chinese Electronic Medical Records by Combining Domain Dictionary and Rules.
    Chen X; Ouyang C; Liu Y; Bu Y
    Int J Environ Res Public Health; 2020 Apr; 17(8):. PubMed ID: 32295174
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.