Cosmin A. Bejan, Ph.D.

Affiliations: 
2009 University of Texas at Dallas, Richardson, TX, United States 
Area:
Computer Science, Statistics, Computer Engineering
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"Cosmin Bejan"

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Sanda Harabagiu grad student 2009 UT Dallas
 (Learning event structures from text.)
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Publications

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Mo H, Thompson WK, Rasmussen LV, et al. (2015) Desiderata for computable representations of electronic health records-driven phenotype algorithms. Journal of the American Medical Informatics Association : Jamia
Chen Y, Ghosh J, Bejan CA, et al. (2015) Building bridges across electronic health record systems through inferred phenotypic topics. Journal of Biomedical Informatics. 55: 82-93
Bejan CA, Wei WQ, Denny JC. (2015) Assessing the role of a medication-indication resource in the treatment relation extraction from clinical text. Journal of the American Medical Informatics Association : Jamia. 22: e162-76
Bejan CA, Denny JC. (2014) Learning to identify treatment relations in clinical text. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2014: 282-8
Bejan CA, Vanderwende L, Evans HL, et al. (2013) On-time clinical phenotype prediction based on narrative reports. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2013: 103-10
Bejan CA, Vanderwende L, Xia F, et al. (2013) Assertion modeling and its role in clinical phenotype identification. Journal of Biomedical Informatics. 46: 68-74
Bejan CA, Vanderwende L, Wurfel MM, et al. (2012) Assessing pneumonia identification from time-ordered narrative reports. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2012: 1119-28
Bejan CA, Xia F, Vanderwende L, et al. (2012) Pneumonia identification using statistical feature selection. Journal of the American Medical Informatics Association : Jamia. 19: 817-23
Roberts K, Bejan CA, Harabagiu S. (2011) Using event semantics for toponym disambiguation Applied Natural Language Processing: Identification, Investigation and Resolution. 511-530
Rink B, Bejan CA, Harabagiu S. (2011) The role of textual graph patterns in discovering event causality Applied Natural Language Processing: Identification, Investigation and Resolution. 333-349
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