Publications

2011
Chapman WW, Nadkarni PM, Hirschman L, D'Avolio LW, Savova GK, Uzuner Ö. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions [Internet]. Journal of the American Medical Informatics Association 2011;18(5):540-543. https://doi.org/10.1136/amiajnl-2011-000465
Uzuner Ö, South BR, Shen S, DuVall SL. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text [Internet]. Journal of the American Medical Informatics Association 2011;18(5):552-556. https://doi.org/10.1136/amiajnl-2011-000203
de Bruijn B, Cherry C, Kiritchenko S, Martin J, Zhu X. Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010 [Internet]. Journal of the American Medical Informatics Association 2011;18(5):557-562. https://doi.org/10.1136/amiajnl-2011-000150
Clark C, Aberdeen J, Coarr M, Tresner-Kirsch D, Wellner B, Yeh A, Hirschman L. MITRE system for clinical assertion status classification [Internet]. Journal of the American Medical Informatics Association 2011;18(5):563-567. https://doi.org/10.1136/amiajnl-2011-000164
Roberts K, Harabagiu SM. A flexible framework for deriving assertions from electronic medical records [Internet]. Journal of the American Medical Informatics Association 2011;18(5):568-573. https://doi.org/10.1136/amiajnl-2011-000152
Patrick JD, Nguyen DHM, Wang Y, Li M. A knowledge discovery and reuse pipeline for information extraction in clinical notes [Internet]. Journal of the American Medical Informatics Association 2011;18(5):574-579. https://doi.org/10.1136/amiajnl-2011-000302
Torii M, Wagholikar K, Liu H. Using machine learning for concept extraction on clinical documents from multiple data sources [Internet]. Journal of the American Medical Informatics Association 2011;18(5):580-587. https://doi.org/10.1136/amiajnl-2011-000155
Minard A-L, Ligozat A-L, Abacha AB, Bernhard D, Cartoni B, Deléger L, Grau B, Rosset S, Zweigenbaum P, Grouin C. Hybrid methods for improving information access in clinical documents: concept, assertion, and relation identification [Internet]. Journal of the American Medical Informatics Association 2011;18(5):588-593. https://doi.org/10.1136/amiajnl-2011-000154
Rink B, Harabagiu S, Roberts K. Automatic extraction of relations between medical concepts in clinical texts [Internet]. Journal of the American Medical Informatics Association 2011;18(5):594-600. https://doi.org/10.1136/amiajnl-2011-000153
Jiang M, Chen Y, Liu M, Rosenbloom TS, Mani S, Denny JC, Xu H. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries [Internet]. Journal of the American Medical Informatics Association 2011;18(5):601-606. https://doi.org/10.1136/amiajnl-2011-000163
D'Avolio LW, Nguyen TM, Goryachev S, Fiore LD. Automated concept-level information extraction to reduce the need for custom software and rules development [Internet]. Journal of the American Medical Informatics Association 2011;18(5):607-613. https://doi.org/10.1136/amiajnl-2011-000183
2010
Uzuner Ö, Solti I, Cadag E. Extracting medication information from clinical text [Internet]. Journal of the American Medical Informatics Association 2010;17(5):514-518. https://doi.org/10.1136/jamia.2010.003947
Uzuner Ö, Solti I, Xia F, Cadag E. Community annotation experiment for ground truth generation for the i2b2 medication challenge [Internet]. Journal of the American Medical Informatics Association 2010;17(5):519-523. https://doi.org/10.1136/jamia.2010.004200
Patrick J, Li M. High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge [Internet]. Journal of the American Medical Informatics Association 2010;17(5):524-527. https://doi.org/10.1136/jamia.2010.003939
Doan S, Bastarache L, Klimkowski S, Denny JC, Xu H. Integrating existing natural language processing tools for medication extraction from discharge summaries [Internet]. Journal of the American Medical Informatics Association 2010;17(5):528-531. https://doi.org/10.1136/jamia.2010.003855
Spasić I, Sarafraz F, Keane JA, Nenadić G. Medication information extraction with linguistic pattern matching and semantic rules [Internet]. Journal of the American Medical Informatics Association 2010;17(5):532-535. https://doi.org/10.1136/jamia.2010.003657
Mork JG, Bodenreider O, Demner-Fushman D, Doğan RI, Lang F-M, Lu Z, Névéol A, Peters L, Shooshan SE, Aronson AR. Extracting Rx information from clinical narrative [Internet]. Journal of the American Medical Informatics Association 2010;17(5):536-539. https://doi.org/10.1136/jamia.2010.003970
Tikk D, Solt I. Improving textual medication extraction using combined conditional random fields and rule-based systems [Internet]. Journal of the American Medical Informatics Association 2010;17(5):540-544. https://doi.org/10.1136/jamia.2010.004119
Yang H. Automatic extraction of medication information from medical discharge summaries [Internet]. Journal of the American Medical Informatics Association 2010;17(5):545-548. https://doi.org/10.1136/jamia.2010.003863
Hamon T, Grabar N. Linguistic approach for identification of medication names and related information in clinical narratives [Internet]. Journal of the American Medical Informatics Association 2010;17(5):549-554. https://doi.org/10.1136/jamia.2010.004036

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