Evaluating the state of the art in disorder recognition and normalization of the clinical narrative.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Aug 21, 2014

Abstract

OBJECTIVE: The ShARe/CLEF eHealth 2013 Evaluation Lab Task 1 was organized to evaluate the state of the art on the clinical text in (i) disorder mention identification/recognition based on Unified Medical Language System (UMLS) definition (Task 1a) and (ii) disorder mention normalization to an ontology (Task 1b). Such a community evaluation has not been previously executed. Task 1a included a total of 22 system submissions, and Task 1b included 17. Most of the systems employed a combination of rules and machine learners.

Authors

  • Sameer Pradhan
    Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
  • Noémie Elhadad
    Biomedical Informatics, Columbia University, New York, NY, USA.
  • Brett R South
    University of Utah, Salt Lake City, Utah, USA.
  • David Martinez
    The University of Melbourne, Australia.
  • Lee Christensen
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT.
  • Amy Vogel
    Columbia University, New York, New York, USA.
  • Hanna Suominen
    NICTA, The Australian National University, and University of Canberra, Canberra, Australian Capital Territory, Australia.
  • Wendy W Chapman
    School of Medicine, University of Utah, Salt Lake City, Utah, US.
  • Guergana Savova
    Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA.

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