BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 30902121)

  • 21. 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]  

  • 22. Data-Driven Information Extraction from Chinese Electronic Medical Records.
    Xu D; Zhang M; Zhao T; Ge C; Gao W; Wei J; Zhu KQ
    PLoS One; 2015; 10(8):e0136270. PubMed ID: 26295801
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. A self-attention based neural architecture for Chinese medical named entity recognition.
    Wan Q; Liu J; Wei LN; Ji B
    Math Biosci Eng; 2020 May; 17(4):3498-3511. PubMed ID: 32987540
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [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]  

  • 26. Stroke Outcome Measurements From Electronic Medical Records: Cross-sectional Study on the Effectiveness of Neural and Nonneural Classifiers.
    Zanotto BS; Beck da Silva Etges AP; Dal Bosco A; Cortes EG; Ruschel R; De Souza AC; Andrade CMV; Viegas F; Canuto S; Luiz W; Ouriques Martins S; Vieira R; Polanczyk C; André Gonçalves M
    JMIR Med Inform; 2021 Nov; 9(11):e29120. PubMed ID: 34723829
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. An Efficient Method for Deidentifying Protected Health Information in Chinese Electronic Health Records: Algorithm Development and Validation.
    Wang P; Li Y; Yang L; Li S; Li L; Zhao Z; Long S; Wang F; Wang H; Li Y; Wang C
    JMIR Med Inform; 2022 Aug; 10(8):e38154. PubMed ID: 36040774
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes.
    Yang X; Bian J; Gong Y; Hogan WR; Wu Y
    Drug Saf; 2019 Jan; 42(1):123-133. PubMed ID: 30600484
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Long short-term memory RNN for biomedical named entity recognition.
    Lyu C; Chen B; Ren Y; Ji D
    BMC Bioinformatics; 2017 Oct; 18(1):462. PubMed ID: 29084508
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.
    Gligic L; Kormilitzin A; Goldberg P; Nevado-Holgado A
    Neural Netw; 2020 Jan; 121():132-139. PubMed ID: 31541881
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Entity relationship extraction from Chinese electronic medical records based on feature augmentation and cascade binary tagging framework.
    Lu X; Tong J; Xia S
    Math Biosci Eng; 2024 Jan; 21(1):1342-1355. PubMed ID: 38303468
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A method for cohort selection of cardiovascular disease records from an electronic health record system.
    Abrahão MTF; Nobre MRC; Gutierrez MA
    Int J Med Inform; 2017 Jun; 102():138-149. PubMed ID: 28495342
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Fast Model Adaptation for Automated Section Classification in Electronic Medical Records.
    Ni J; Delaney B; Florian R
    Stud Health Technol Inform; 2015; 216():35-9. PubMed ID: 26262005
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Clinical Named Entity Recognition Using Deep Learning Models.
    Wu Y; Jiang M; Xu J; Zhi D; Xu H
    AMIA Annu Symp Proc; 2017; 2017():1812-1819. PubMed ID: 29854252
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Utilizing soft constraints to enhance medical relation extraction from the history of present illness in electronic medical records.
    Chen L; Li Y; Chen W; Liu X; Yu Z; Zhang S
    J Biomed Inform; 2018 Nov; 87():108-117. PubMed ID: 30292854
    [TBL] [Abstract][Full Text] [Related]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 7.