Contextualized medication information extraction using Transformer-based deep learning architectures.

Journal: Journal of biomedical informatics
Published Date:

Abstract

OBJECTIVE: To develop a natural language processing (NLP) system to extract medications and contextual information that help understand drug changes. This project is part of the 2022 n2c2 challenge.

Authors

  • Aokun Chen
    Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA; Cancer Informatics Shared Resource, University of Florida Health Cancer Center, Gainesville, FL, USA.
  • Zehao Yu
    Department of Health Outcomes and Biomedical Informatics.
  • Xi Yang
    Department of Health Outcomes and Biomedical Informatics.
  • Yi Guo
    Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Jiang Bian
    Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, United States of America.
  • Yonghui Wu
    Department of Health Outcomes and Biomedical Informatics.