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.

FABLE: A Semi-Supervised Prescription Information Extraction System.
Authors: Tao C, Filannino M, Uzuner Ö.
AMIA Annu Symp Proc
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Corrigendum to "Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2" [J Biomed Inform. 2017 Nov;75S:S62-S70].
Authors: Filannino M, Stubbs A, Uzuner Ö.
J Biomed Inform
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Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.
Authors: Filannino M, Uzuner Ö.
Yearb Med Inform
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Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes.
Authors: Luo Y, Cheng Y, Uzuner Ö, Szolovits P, Starren J.
J Am Med Inform Assoc
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Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2.
Authors: Filannino M, Stubbs A, Uzuner Ö.
J Biomed Inform
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A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.
Authors: Uzuner Ö, Stubbs A, Filannino M.
J Biomed Inform
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De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1.
Authors: Stubbs A, Filannino M, Uzuner Ö.
J Biomed Inform
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Prescription extraction using CRFs and word embeddings.
Authors: Tao C, Filannino M, Uzuner Ö.
J Biomed Inform
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Automatic prediction of coronary artery disease from clinical narratives.
Authors: Buchan K, Filannino M, Uzuner Ö.
J Biomed Inform
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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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