Logical definition-based identification of potential missing concepts in SNOMED CT.

Journal: BMC medical informatics and decision making
Published Date: May 9, 2023

Abstract

BACKGROUND: Biomedical ontologies are representations of biomedical knowledge that provide terms with precisely defined meanings. They play a vital role in facilitating biomedical research in a cross-disciplinary manner. Quality issues of biomedical ontologies will hinder their effective usage. One such quality issue is missing concepts. In this study, we introduce a logical definition-based approach to identify potential missing concepts in SNOMED CT. A unique contribution of our approach is that it is capable of obtaining both logical definitions and fully specified names for potential missing concepts.

Authors

  • Xubing Hao
    McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States.
  • Rashmie Abeysinghe
    Department of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Kirk Roberts
    The University of Texas Health Science Center at Houston, USA.
  • Licong Cui
    The University of Texas Health Science Center at Houston, USA.

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