A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD).

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Apr 1, 2017

Abstract

OBJECTIVE: The goal of this study was to develop a practical framework for recognizing and disambiguating clinical abbreviations, thereby improving current clinical natural language processing (NLP) systems' capability to handle abbreviations in clinical narratives.

Authors

  • Yonghui Wu
    Department of Health Outcomes and Biomedical Informatics.
  • Joshua C Denny
    Vanderbilt University, Nashville, TN.
  • S Trent Rosenbloom
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Randolph A Miller
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Dario A Giuse
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Lulu Wang
    c Center of Community Health Services, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang Province, China.
  • Carmelo Blanquicett
    Department of Medicine, University of Alabama at Birmingham, Birmingham.
  • Ergin Soysal
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston.
  • Jun Xu
    Department of Nephrology, The Affiliated Baiyun Hospital of Guizhou Medical University, Guizhou, China.
  • Hua Xu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

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