Deep learning approaches for extracting adverse events and indications of dietary supplements from clinical text.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Mar 1, 2021

Abstract

OBJECTIVE: We sought to demonstrate the feasibility of utilizing deep learning models to extract safety signals related to the use of dietary supplements (DSs) in clinical text.

Authors

  • Yadan Fan
    Institute for Health Informatics, University of Minnesota, Minneapolis, MN, USA.
  • Sicheng Zhou
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Texas, USA.
  • Yifan Li
    College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA.
  • Rui Zhang
    Department of Cardiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China.

Keywords

External Resources

Popular Topics
Recent Journals