Enhancing Relation Extraction for COVID-19 Vaccine Shot-Adverse Event Associations with Large Language Models.

Journal: Research square
Published Date: Mar 17, 2025

Abstract

OBJECTIVE: The rapid evolution of the COVID-19 virus has led to the development of different vaccine shots, each designed to combat specific variants and enhance overall efficacy. While vaccines have been crucial in controlling the spread of the virus, they can also cause adverse events (AEs). Understanding these relationships is vital for vaccine safety monitoring and surveillance.

Authors

  • Yiming Li
    Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China.
  • Deepthi Viswaroopan
    The University of Texas Health Science Center at Houston.
  • William He
    Duke University.
  • Jianfu Li
    Mayo Clinic.
  • Xu Zuo
    The University of Texas Health Science Center at Houston.
  • Hua Xu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Cui Tao
    The University of Texas Health Science Center at Houston, USA.

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