Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs.

Journal: Journal of biomedical informatics
Published Date: Feb 1, 2018

Abstract

OBJECTIVE: We introduce a structural-lexical approach for auditing SNOMED CT using a combination of non-lattice subgraphs of the underlying hierarchical relations and enriched lexical attributes of fully specified concept names. Our goal is to develop a scalable and effective approach that automatically identifies missing hierarchical IS-A relations.

Authors

  • Licong Cui
    The University of Texas Health Science Center at Houston, USA.
  • Olivier Bodenreider
    National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Jay Shi
    Department of Internal Medicine, University of Kentucky, Lexington, KY, USA.
  • Guo-Qiang Zhang
    University of Texas Health Science Center at Houston, Houston, TX 77030.

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