Post-challenge

2020
Alimova I, Tutubalina E. Multiple features for clinical relation extraction: A machine learning approach [Internet]. Journal of Biomedical Informatics 2020;103 https://doi.org/10.1016/j.jbi.2020.103382
See also: Post-challenge
2019
Li Y, Jin R, Luo Y. Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs) [Internet]. Journal of the American Medical Informatics Association 2019;26(3):262-268. https://doi.org/10.1093/jamia/ocy157
See also: Post-challenge
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 [Internet]. Journal of the American Medical Informatics Association 2019;26(7):646-654. https://doi.org/10.1093/jamia/ocz018
See also: Post-challenge
Si Y, Wang J, Xu H, Roberts K. Enhancing clinical concept extraction with contextual embeddings [Internet]. Journal of the American Medical Informatics Association 2019;26(11):1297-1304. https://doi.org/10.1093/jamia/ocz096
See also: Post-challenge
2018
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 [Internet]. Journal of the American Medical Informatics Association 2018;25(3):331-336. https://doi.org/10.1093/jamia/ocx132
See also: Post-challenge
Luo Y, Cheng Y, Uzuner Ö, Szolovits P, Starren J. Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes [Internet]. Journal of the American Medical Informatics Association 2018;25(1):93-98. https://doi.org/10.1093/jamia/ocx090
See also: Post-challenge
2016
Kholghi M, Sitbon L, Zuccon G, Nguyen A. Active learning: a step towards automating medical concept extraction [Internet]. Journal of the American Medical Informatics Association 2016;23(2):289-296. https://doi.org/10.1093/jamia/ocv069
See also: Post-challenge
Lin C, Dligach D, Miller TA, Bethard S, Savova GK. Multilayered temporal modeling for the clinical domain [Internet]. Journal of the American Medical Informatics Association 2016;23(2):387-395. https://doi.org/10.1093/jamia/ocv113
See also: Post-challenge
2015
Pradhan S, Elhadad N, South BR, Martinez D, Christensen L, Vogel A, Suominen H, Chapman WW, Savova G. Evaluating the state of the art in disorder recognition and normalization of the clinical narrative [Internet]. Journal of the American Medical Informatics Association 2015;22(1):143-154. https://doi.org/10.1136/amiajnl-2013-002544
See also: Post-challenge
Jung K, LePendu P, Iyer S, Bauer-Mehren A, Percha B, Shah NH. Functional evaluation of out-of-the-box text-mining tools for data-mining tasks [Internet]. Journal of the American Medical Informatics Association 2015;22(1):121-131. https://doi.org/10.1136/amiajnl-2014-002902
See also: Post-challenge
Lin C-H, Wu N-Y, Lai W-S, Liou D-M. Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries [Internet]. Journal of the American Medical Informatics Association 2015;22(1):132-142. https://doi.org/10.1136/amiajnl-2014-002991
See also: Post-challenge
Sun W, Rumshisky A, Uzuner Ö. Normalization of relative and incomplete temporal expressions in clinical narratives [Internet]. Journal of the American Medical Informatics Association 2015;22(5):1001-1008. https://doi.org/10.1093/jamia/ocu004
See also: Post-challenge
2013
Jindal P, Roth D. Using domain knowledge and domain-inspired discourse model for coreference resolution for clinical narratives [Internet]. Journal of the American Medical Informatics Association 2013;20(2):356-362. https://doi.org/10.1136/amiajnl-2011-000767
See also: Post-challenge
2012
Gooch P, Roudsari A. Lexical patterns, features and knowledge resources for coreference resolution in clinical notes [Internet]. Journal of Biomedical Informatics 2012;45(5):901-912. https://doi.org/10.1016/j.jbi.2012.02.012
See also: Post-challenge
2008
Friedlin FJ, McDonald CJ. A Software Tool for Removing Patient Identifying Information from Clinical Documents [Internet]. Journal of the American Medical Informatics Association 2008;15(5):601-610. https://doi.org/10.1197/jamia.M2702
See also: Post-challenge