Post-challenge

Bibliographic References tagged with Post-challenge

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Soysal E, Wang J, Jiang M, Wu Y, Pakhomov S, Liu H, Xu H. CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines.
Journal of the American Medical Informatics Association. 2018;25(3):331–336.
Soysal E, Wang J, Jiang M, Wu Y, Pakhomov S, Liu H, Xu H. CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines.
Journal of the American Medical Informatics Association. 2018;25(3):331–336.
Pradhan S, Elhadad N, South B, Martinez D, Christensen L, Vogel A, Suominen H, Chapman W, Savova G. Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.
Journal of the American Medical Informatics Association. 2015;22(1):143–154.
Pradhan S, Elhadad N, South B, Martinez D, Christensen L, Vogel A, Suominen H, Chapman W, Savova G. Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.
Journal of the American Medical Informatics Association. 2015;22(1):143–154.
Kholghi M, Sitbon L, Zuccon G, Nguyen A. Active learning: a step towards automating medical concept extraction.
Journal of the American Medical Informatics Association. 2016;23(2):289–296.
Kholghi M, Sitbon L, Zuccon G, Nguyen A. Active learning: a step towards automating medical concept extraction.
Journal of the American Medical Informatics Association. 2016;23(2):289–296.
Jung K, LePendu P, Iyer S, Bauer-Mehren A, Percha B, Shah N. Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.
Journal of the American Medical Informatics Association. 2015;22(1):121–131.
Jung K, LePendu P, Iyer S, Bauer-Mehren A, Percha B, Shah N. Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.
Journal of the American Medical Informatics Association. 2015;22(1):121–131.
Lin CH, Wu NY, Lai WS, Liou DM. Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries.
Journal of the American Medical Informatics Association. 2015;22(1):132–142.
Lin CH, Wu NY, Lai WS, Liou DM. Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries.
Journal of the American Medical Informatics Association. 2015;22(1):132–142.
Sun W, Rumshisky A, Uzuner Ö. Normalization of relative and incomplete temporal expressions in clinical narratives .
Journal of the American Medical Informatics Association. 2015;22(5):1001–1008.
Sun W, Rumshisky A, Uzuner Ö. Normalization of relative and incomplete temporal expressions in clinical narratives .
Journal of the American Medical Informatics Association. 2015;22(5):1001–1008.
Li Y, Jin R, Luo Y. Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs).
Journal of the American Medical Informatics Association. 2019;26(3):262–268.
Li Y, Jin R, Luo Y. Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs).
Journal of the American Medical Informatics Association. 2019;26(3):262–268.
Li F, Yu H. An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models .
Journal of the American Medical Informatics Association. 2019;26(7):646–654.
Li F, Yu H. An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models .
Journal of the American Medical Informatics Association. 2019;26(7):646–654.
Luo Y, Cheng Y, Uzuner Ö, Szolovits P, Starren J. Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
Journal of the American Medical Informatics Association. 2018;25(1):93–98.
Luo Y, Cheng Y, Uzuner Ö, Szolovits P, Starren J. Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
Journal of the American Medical Informatics Association. 2018;25(1):93–98.
Lin C, Dligach D, Miller T, Bethard S, Savova G. Multilayered temporal modeling for the clinical domain.
Journal of the American Medical Informatics Association. 2016;23(2):387–395.
Lin C, Dligach D, Miller T, Bethard S, Savova G. Multilayered temporal modeling for the clinical domain.
Journal of the American Medical Informatics Association. 2016;23(2):387–395.