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 *

166 related articles for article (PubMed ID: 31787075)

  • 1. A hybrid deep learning framework for bacterial named entity recognition with domain features.
    Li X; Fu C; Zhong R; Zhong D; He T; Jiang X
    BMC Bioinformatics; 2019 Dec; 20(Suppl 16):583. PubMed ID: 31787075
    [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. 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]  

  • 4. 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]  

  • 5. Document-level attention-based BiLSTM-CRF incorporating disease dictionary for disease named entity recognition.
    Xu K; Yang Z; Kang P; Wang Q; Liu W
    Comput Biol Med; 2019 May; 108():122-132. PubMed ID: 31003175
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Biomedical named entity recognition using deep neural networks with contextual information.
    Cho H; Lee H
    BMC Bioinformatics; 2019 Dec; 20(1):735. PubMed ID: 31881938
    [TBL] [Abstract][Full Text] [Related]  

  • 8. DTranNER: biomedical named entity recognition with deep learning-based label-label transition model.
    Hong SK; Lee JG
    BMC Bioinformatics; 2020 Feb; 21(1):53. PubMed ID: 32046638
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CollaboNet: collaboration of deep neural networks for biomedical named entity recognition.
    Yoon W; So CH; Lee J; Kang J
    BMC Bioinformatics; 2019 May; 20(Suppl 10):249. PubMed ID: 31138109
    [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. Fast and effective biomedical named entity recognition using temporal convolutional network with conditional random field.
    Sun GX; Zhou CJ; Zhao HY; Jin B; Gao Z
    Math Biosci Eng; 2020 May; 17(4):3553-3566. PubMed ID: 32987543
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Improving deep learning method for biomedical named entity recognition by using entity definition information.
    Xiong Y; Chen S; Tang B; Chen Q; Wang X; Yan J; Zhou Y
    BMC Bioinformatics; 2021 Dec; 22(Suppl 1):600. PubMed ID: 34920699
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Extracting entities with attributes in clinical text via joint deep learning.
    Shi X; Yi Y; Xiong Y; Tang B; Chen Q; Wang X; Ji Z; Zhang Y; Xu H
    J Am Med Inform Assoc; 2019 Dec; 26(12):1584-1591. PubMed ID: 31550346
    [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. Language model based on deep learning network for biomedical named entity recognition.
    Hou G; Jian Y; Zhao Q; Quan X; Zhang H
    Methods; 2024 Jun; 226():71-77. PubMed ID: 38641084
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Entity recognition in the biomedical domain using a hybrid approach.
    Basaldella M; Furrer L; Tasso C; Rinaldi F
    J Biomed Semantics; 2017 Nov; 8(1):51. PubMed ID: 29122011
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition.
    Wang Q; Zhou Y; Ruan T; Gao D; Xia Y; He P
    J Biomed Inform; 2019 Apr; 92():103133. PubMed ID: 30818005
    [TBL] [Abstract][Full Text] [Related]  

  • 19. BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework.
    Zheng X; Du H; Luo X; Tong F; Song W; Zhao D
    BMC Bioinformatics; 2022 Nov; 23(1):501. PubMed ID: 36418937
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.