• Publications
  • Influence
2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
TLDR
The 2010 i2b2/VA Workshop on Natural Language Processing Challenges for Clinical Records presented three tasks: a concept extraction task focused on the extraction of medical concepts from patient reports; an assertion classification task focused upon assigning assertion types for medical problem concepts; and a relation classification task on assigning relation types that hold between medical problems, tests and treatments. Expand
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Evaluating temporal relations in clinical text: 2012 i2b2 Challenge
TLDR
BACKGROUND The Sixth Informatics for Integrating Biology and the Bedside (i2b2) Natural Language Processing Challenge for Clinical Records focused on the temporal relations in clinical narratives. Expand
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De-identification of patient notes with recurrent neural networks
TLDR
We introduce the first de-identification system based on artificial neural networks (ANNs), which requires no handcrafted features or rules, unlike existing systems. Expand
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Viewpoint Paper: Evaluating the State-of-the-Art in Automatic De-identification
TLDR
We conducted a de-identification challenge on automatically removing private health information (PHI) from medical discharge records. Expand
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Extracting medication information from clinical text
TLDR
The Third i2b2 Workshop on Natural Language Processing Challenges for Clinical Records focused on the identification of medications, their dosages, modes (routes) of administration, frequencies, durations, and reasons for administration in discharge summaries. Expand
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Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1
TLDR
The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured four tracks. Expand
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Evaluating the state of the art in coreference resolution for electronic medical records
BACKGROUND The fifth i2b2/VA Workshop on Natural Language Processing Challenges for Clinical Records conducted a systematic review on resolution of noun phrase coreference in medical records.Expand
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Viewpoint Paper: Recognizing Obesity and Comorbidities in Sparse Data
  • Özlem Uzuner
  • Computer Science, Medicine
  • J. Am. Medical Informatics Assoc.
  • 1 July 2009
TLDR
In order to survey, facilitate, and evaluate studies of medical language processing on clinical narratives, i2b2 (Informatics for Integrating Biology to the Bedside) organized its second challenge and workshop. Expand
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Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus
TLDR
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on the de-identification of longitudinal medical records. Expand
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Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions
TLDR
This issue of JAMIA focuses on natural language processing (NLP) techniques for clinical-text information extraction. Expand
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