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 *

316 related articles for article (PubMed ID: 31557530)

  • 1. Neural network-based approaches for biomedical relation classification: A review.
    Zhang Y; Lin H; Yang Z; Wang J; Sun Y; Xu B; Zhao Z
    J Biomed Inform; 2019 Nov; 99():103294. PubMed ID: 31557530
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A hybrid model based on neural networks for biomedical relation extraction.
    Zhang Y; Lin H; Yang Z; Wang J; Zhang S; Sun Y; Yang L
    J Biomed Inform; 2018 May; 81():83-92. PubMed ID: 29601989
    [TBL] [Abstract][Full Text] [Related]  

  • 3. GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification.
    Ibrahim MA; Ghani Khan MU; Mehmood F; Asim MN; Mahmood W
    J Biomed Inform; 2021 Apr; 116():103699. PubMed ID: 33601013
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A comparison of word embeddings for the biomedical natural language processing.
    Wang Y; Liu S; Afzal N; Rastegar-Mojarad M; Wang L; Shen F; Kingsbury P; Liu H
    J Biomed Inform; 2018 Nov; 87():12-20. PubMed ID: 30217670
    [TBL] [Abstract][Full Text] [Related]  

  • 5. BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies.
    Lamurias A; Sousa D; Clarke LA; Couto FM
    BMC Bioinformatics; 2019 Jan; 20(1):10. PubMed ID: 30616557
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
    Luo Y; Cheng Y; Uzuner Ö; Szolovits P; Starren J
    J Am Med Inform Assoc; 2018 Jan; 25(1):93-98. PubMed ID: 29025149
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical Context-Aware Biomedical Text Summarization Using Deep Neural Network: Model Development and Validation.
    Afzal M; Alam F; Malik KM; Malik GM
    J Med Internet Res; 2020 Oct; 22(10):e19810. PubMed ID: 33095174
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Extracting drug-drug interactions with hybrid bidirectional gated recurrent unit and graph convolutional network.
    Zhao D; Wang J; Lin H; Yang Z; Zhang Y
    J Biomed Inform; 2019 Nov; 99():103295. PubMed ID: 31568842
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Exploring semi-supervised variational autoencoders for biomedical relation extraction.
    Zhang Y; Lu Z
    Methods; 2019 Aug; 166():112-119. PubMed ID: 30822516
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs).
    Li Y; Jin R; Luo Y
    J Am Med Inform Assoc; 2019 Mar; 26(3):262-268. PubMed ID: 30590613
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Chinese Clinical Named Entity Recognition Using Residual Dilated Convolutional Neural Network With Conditional Random Field.
    Qiu J; Zhou Y; Wang Q; Ruan T; Gao J
    IEEE Trans Nanobioscience; 2019 Jul; 18(3):306-315. PubMed ID: 30946674
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Clinical Data Extraction and Normalization of Cyrillic Electronic Health Records Via Deep-Learning Natural Language Processing.
    Zhao B
    JCO Clin Cancer Inform; 2019 Sep; 3():1-9. PubMed ID: 31577448
    [TBL] [Abstract][Full Text] [Related]  

  • 13. deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.
    Pesaranghader A; Matwin S; Sokolova M; Pesaranghader A
    J Am Med Inform Assoc; 2019 May; 26(5):438-446. PubMed ID: 30811548
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using Neural Networks for Relation Extraction from Biomedical Literature.
    Sousa D; Lamurias A; Couto FM
    Methods Mol Biol; 2021; 2190():289-305. PubMed ID: 32804372
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.
    Yang X; Bian J; Fang R; Bjarnadottir RI; Hogan WR; Wu Y
    J Am Med Inform Assoc; 2020 Jan; 27(1):65-72. PubMed ID: 31504605
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Generalizing biomedical relation classification with neural adversarial domain adaptation.
    Rios A; Kavuluru R; Lu Z
    Bioinformatics; 2018 Sep; 34(17):2973-2981. PubMed ID: 29590309
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fast and scalable neural embedding models for biomedical sentence classification.
    Agibetov A; Blagec K; Xu H; Samwald M
    BMC Bioinformatics; 2018 Dec; 19(1):541. PubMed ID: 30577747
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Active deep learning for the identification of concepts and relations in electroencephalography reports.
    Maldonado R; Harabagiu SM
    J Biomed Inform; 2019 Oct; 98():103265. PubMed ID: 31470094
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
    Hu W; Zhang Y; Li L
    Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity.
    Blanco A; Perez-de-Viñaspre O; Pérez A; Casillas A
    Comput Methods Programs Biomed; 2020 May; 188():105264. PubMed ID: 31851906
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.