Özlem Uzuner, Ph.D.
Özlem Uzuner, Ph.D.
Visiting Associate Professor of Biomedical Informatics

Ozlem Uzuner is an Associate Professor of Information Sciences and Technology at George Mason University. She is the lead investigator of the National NLP Clinical Challenges (n2c2) which she has been organizing since 2006, first under Informatics for Integrating Biology and the Bedside (i2b2), then under CEGS N-GRID, and now under the Department of Biomedical Informatics (DBMI) of Harvard Medical School jointly with George Mason University. She is a natural language processing (NLP) expert and specializes in methods that process clinical narratives for effective and efficient information access that can support clinical applications. As a part of her NLP efforts, she de-identifies clinical records; as a part of the outreach and education efforts of DBMI and George Mason, enables use of de-identified narrative clinical data for research and course work.

Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.
Authors: Luo Y, Uzuner Ö, Szolovits P.
Brief Bioinform
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A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.
Authors: Kotfila C, Uzuner Ö.
J Biomed Inform
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Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1.
Authors: Stubbs A, Kotfila C, Uzuner Ö.
J Biomed Inform
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Identifying risk factors for heart disease over time: Overview of 2014 i2b2/UTHealth shared task Track 2.
Authors: Stubbs A, Kotfila C, Xu H, Uzuner Ö.
J Biomed Inform
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Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.
Authors: Uzuner Ö, Stubbs A.
J Biomed Inform
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Ease of adoption of clinical natural language processing software: An evaluation of five systems.
Authors: Zheng K, Vydiswaran VG, Liu Y, Wang Y, Stubbs A, Uzuner Ö, Gururaj AE, Bayer S, Aberdeen J, Rumshisky A, Pakhomov S, Liu H, Xu H.
J Biomed Inform
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Creation of a new longitudinal corpus of clinical narratives.
Authors: Kumar V, Stubbs A, Shaw S, Uzuner Ö.
J Biomed Inform
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Annotating risk factors for heart disease in clinical narratives for diabetic patients.
Authors: Stubbs A, Uzuner Ö.
J Biomed Inform
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Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus.
Authors: Stubbs A, Uzuner Ö.
J Biomed Inform
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Chronology of your health events: approaches to extracting temporal relations from medical narratives.
Authors: Uzuner Ö, Stubbs A, Sun W.
J Biomed Inform
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