2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 31584655

Abstract

OBJECTIVE: This article summarizes the preparation, organization, evaluation, and results of Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on extraction of adverse drug events (ADEs) from clinical records and evaluated 3 tasks: concept extraction, relation classification, and end-to-end systems. We perform an analysis of the results to identify the state of the art in these tasks, learn from it, and build on it.

Authors

  • Sam Henry
    Department of Computer Science, Virginia Commonwealth University, 401 S. Main St., Richmond, VA 23284, USA. Electronic address: henryst@vcu.edu.
  • Kevin Buchan
    Department of Information Science, State University of New York at Albany, NY, USA. Electronic address: kbuchan@albany.edu.
  • Michele Filannino
    Department of Computer Science, State University of New York at Albany, NY, USA.
  • Amber Stubbs
    School of Library and Information Science, Simmons College, Boston, MA, USA. Electronic address: stubbs@simmons.edu.
  • Ozlem Uzuner
    Department of Information Studies, University at Albany, SUNY. Albany, NY.

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