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 *

514 related articles for article (PubMed ID: 32723719)

  • 1. Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis.
    Wang X; Chen S; Li T; Li W; Zhou Y; Zheng J; Chen Q; Yan J; Tang B
    JMIR Med Inform; 2020 Jul; 8(7):e17958. PubMed ID: 32723719
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning Approach for Negation and Speculation Detection for Automated Important Finding Flagging and Extraction in Radiology Report: Internal Validation and Technique Comparison Study.
    Weng KH; Liu CF; Chen CJ
    JMIR Med Inform; 2023 Apr; 11():e46348. PubMed ID: 37097731
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pretrained Transformer Language Models Versus Pretrained Word Embeddings for the Detection of Accurate Health Information on Arabic Social Media: Comparative Study.
    Albalawi Y; Nikolov NS; Buckley J
    JMIR Form Res; 2022 Jun; 6(6):e34834. PubMed ID: 35767322
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study.
    Sun Y; Gao D; Shen X; Li M; Nan J; Zhang W
    JMIR Med Inform; 2022 Apr; 10(4):e35606. PubMed ID: 35451969
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Extracting comprehensive clinical information for breast cancer using deep learning methods.
    Zhang X; Zhang Y; Zhang Q; Ren Y; Qiu T; Ma J; Sun Q
    Int J Med Inform; 2019 Dec; 132():103985. PubMed ID: 31627032
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-Level Representation Learning for Chinese Medical Entity Recognition: Model Development and Validation.
    Zhang Z; Zhu L; Yu P
    JMIR Med Inform; 2020 May; 8(5):e17637. PubMed ID: 32364514
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework.
    Liu H; Zhang Z; Xu Y; Wang N; Huang Y; Yang Z; Jiang R; Chen H
    J Med Internet Res; 2021 Jan; 23(1):e19689. PubMed ID: 33433395
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language Approach.
    Jamali AA; Berger C; Spiteri RJ
    JMIR AI; 2023 Nov; 2():e49531. PubMed ID: 38875532
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT.
    Wada S; Takeda T; Okada K; Manabe S; Konishi S; Kamohara J; Matsumura Y
    Artif Intell Med; 2024 Jul; 153():102889. PubMed ID: 38728811
    [TBL] [Abstract][Full Text] [Related]  

  • 10. RadBERT: Adapting Transformer-based Language Models to Radiology.
    Yan A; McAuley J; Lu X; Du J; Chang EY; Gentili A; Hsu CN
    Radiol Artif Intell; 2022 Jul; 4(4):e210258. PubMed ID: 35923376
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detecting Potentially Harmful and Protective Suicide-Related Content on Twitter: Machine Learning Approach.
    Metzler H; Baginski H; Niederkrotenthaler T; Garcia D
    J Med Internet Res; 2022 Aug; 24(8):e34705. PubMed ID: 35976193
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of pretrained transformer-based models for influenza and COVID-19 detection using social media text data in Saskatchewan, Canada.
    Tian Y; Zhang W; Duan L; McDonald W; Osgood N
    Front Digit Health; 2023; 5():1203874. PubMed ID: 37448834
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study.
    Mitra A; Rawat BPS; McManus DD; Yu H
    JMIR Med Inform; 2021 Jul; 9(7):e27527. PubMed ID: 34255697
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic International Classification of Diseases Coding System: Deep Contextualized Language Model With Rule-Based Approaches.
    Chen PF; Chen KC; Liao WC; Lai F; He TL; Lin SC; Chen WJ; Yang CY; Lin YC; Tsai IC; Chiu CH; Chang SC; Hung FM
    JMIR Med Inform; 2022 Jun; 10(6):e37557. PubMed ID: 35767353
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study.
    Oniani D; Chandrasekar P; Sivarajkumar S; Wang Y
    JMIR AI; 2023 May; 2():e44293. PubMed ID: 38875537
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model.
    Oh SH; Kang M; Lee Y
    Healthc Inform Res; 2022 Jan; 28(1):16-24. PubMed ID: 35172087
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An Ensemble Learning Strategy for Eligibility Criteria Text Classification for Clinical Trial Recruitment: Algorithm Development and Validation.
    Zeng K; Pan Z; Xu Y; Qu Y
    JMIR Med Inform; 2020 Jul; 8(7):e17832. PubMed ID: 32609092
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinical concept extraction using transformers.
    Yang X; Bian J; Hogan WR; Wu Y
    J Am Med Inform Assoc; 2020 Dec; 27(12):1935-1942. PubMed ID: 33120431
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.
    Du J; Xiang Y; Sankaranarayanapillai M; Zhang M; Wang J; Si Y; Pham HA; Xu H; Chen Y; Tao C
    J Am Med Inform Assoc; 2021 Jul; 28(7):1393-1400. PubMed ID: 33647938
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Transformers-sklearn: a toolkit for medical language understanding with transformer-based models.
    Yang F; Wang X; Ma H; Li J
    BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):90. PubMed ID: 34330244
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.