Publications

2013
Kovačević A, Dehghan A, Filannino M, Keane JA, Nenadic G. Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives . Journal of the American Medical Informatics Association 2013;20(5):859-866.
Roberts K, Rink B, Harabagiu SM. A flexible framework for recognizing events, temporal expressions, and temporal relations in clinical text [Internet]. Journal of the American Medical Informatics Association 2013;20(5):867-875. https://doi.org/10.1136/amiajnl-2013-001619
Uzuner Ö, Stubbs A, Sun W. Chronology of your health events: Approaches to extracting temporal relations from medical narratives [Internet]. Journal of Biomedical Informatics 2013;46(Supplement):S1-S4. https://doi.org/10.1016/j.jbi.2013.11.005
Sun W, Rumshisky A, Uzuner Ö. Annotating temporal information in clinical narratives [Internet]. Journal of Biomedical Informatics 2013;6(Supplement):S5-S12. https://doi.org/10.1016/j.jbi.2013.07.004
Jindal P, Roth D. Extraction of events and temporal expressions from clinical narratives [Internet]. Journal of Biomedical Informatics 2013;46(Supplement):S13-S19. https://doi.org/10.1016/j.jbi.2013.08.010
Lin Y-K, Chen H, Brown RA. MedTime: A temporal information extraction system for clinical narratives [Internet]. Journal of Biomedical Informatics 2013;46(Supplement):S20-S28. https://doi.org/10.1016/j.jbi.2013.07.012
D’Souza J, Ng V. Classifying temporal relations in clinical data: A hybrid, knowledge-rich approach [Internet]. Journal of Biomedical Informatics 2013;46(Supplement):S29-S39. https://doi.org/10.1016/j.jbi.2013.08.003
Nikfarjam A, Emadzadeh E, Gonzalez G. Towards generating a patient’s timeline: Extracting temporal relationships from clinical notes [Internet]. Journal of Biomedical Informatics 2013;46(Supplement):S40-S47. https://doi.org/10.1016/j.jbi.2013.11.001
Cheng Y, Anick P, Hong P, Xue N. Temporal relation discovery between events and temporal expressions identified in clinical narrative [Internet]. Journal of Biomedical Informatics 2013;46(Supplement):S48-S53. https://doi.org/10.1016/j.jbi.2013.09.010
Chang Y-C, Dai H-J, Wu JC-Y, Chen J-M, Tsai RT-H, Hsu W-L. TEMPTING system: A hybrid method of rule and machine learning for temporal relation extraction in patient discharge summaries [Internet]. Journal of Biomedical Informatics 2013;46(Supplement):S54-S62. https://doi.org/10.1016/j.jbi.2013.09.007
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
Uzuner Ö, Bodnari A, Shen S, Forbush T, Pestian J, South BR. Evaluating the state of the art in coreference resolution for electronic medical records [Internet]. Journal of the American Medical Informatics Association 2012;19(5):786-791. https://doi.org/10.1136/amiajnl-2011-000784
Xu Y, Hong K, Tsujii J, Chang EI-C. Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries [Internet]. Journal of the American Medical Informatics Association 2012;19(5):824-832. https://doi.org/10.1136/amiajnl-2011-000776
Jonnalagadda SR, Li D, Sohn S, Wu S, Wagholikar K, Torii M, Liu H. Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules [Internet]. Journal of the American Medical Informatics Association 2012;19(5):867-874. https://doi.org/10.1136/amiajnl-2011-000766
Rink B, Roberts K, Harabagiu SM. A supervised framework for resolving coreference in clinical records [Internet]. Journal of the American Medical Informatics Association 2012;19(5):875-882. https://doi.org/10.1136/amiajnl-2012-000810
Ware H, Mullett CJ, Jagannathan V, El-Rawas O. Machine learning-based coreference resolution of concepts in clinical documents. Journal of the American Medical Informatics Association 2012;19(5):883-887.
Dai H-J, Chen C-Y, Wu C-Y, Lai P-T, Tsai RT-H, Hsu W-L. Coreference resolution of medical concepts in discharge summaries by exploiting contextual information [Internet]. Journal of the American Medical Informatics Association 2012;19(5):888-896. https://doi.org/10.1136/amiajnl-2012-000808
Xu Y, Liu J, Wu J, Wang Y, Tu Z, Sun J-T, Tsujii J, Chang EI-C. A classification approach to coreference in discharge summaries: 2011 i2b2 challenge [Internet]. Journal of the American Medical Informatics Association 2012;19(5):897-905. https://doi.org/10.1136/amiajnl-2011-000734
Bodnari A, Szolovits P, Uzuner Ö. MCORES: a system for noun phrase coreference resolution for clinical records [Internet]. Journal of the American Medical Informatics Association 2012;19(5):906-912. https://doi.org/10.1136/amiajnl-2011-000591

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