Two complementary AI approaches for predicting UMLS semantic group assignment: heuristic reasoning and deep learning.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date:

Abstract

OBJECTIVE: Use heuristic, deep learning (DL), and hybrid AI methods to predict semantic group (SG) assignments for new UMLS Metathesaurus atoms, with target accuracy ≥95%.

Authors

  • Yuqing Mao
    Nanjing University of Chinese Medicine, 138 Xianlin Avenue, Nanjing, Jiangsu, 210023, China.
  • Randolph A Miller
    Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, Tennessee.
  • Olivier Bodenreider
    National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
  • Vinh Nguyen
    National Library of Medicine, National Institutes of Health, USA.
  • Kin Wah Fung
    National Library of Medicine, Bethesda, MD, USA.