A computational framework for converting textual clinical diagnostic criteria into the quality data model.

Journal: Journal of biomedical informatics
Published Date:

Abstract

BACKGROUND: Constructing standard and computable clinical diagnostic criteria is an important but challenging research field in the clinical informatics community. The Quality Data Model (QDM) is emerging as a promising information model for standardizing clinical diagnostic criteria.

Authors

  • Na Hong
    Department of Biomedical Informatics and Data Science, School of Medicine, Yale University, New Haven, CT 06510, United States.
  • Dingcheng Li
    These authors contributed equally to this study and Dr. Li is now working at IBM; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Yue Yu
    Department of Mathematics, Lehigh University, Bethlehem, PA, USA.
  • Qiongying Xiu
    Computer Science, Winona State University, Rochester, MN, USA.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Guoqian Jiang
    Mayo Clinic College of Medicine, Rochester, MN, USA.