Natural language processing (NLP) to facilitate abstract review in medical research: the application of BioBERT to exploring the 20-year use of NLP in medical research.

Journal: Systematic reviews
Published Date: Apr 15, 2024

Abstract

BACKGROUND: Abstract review is a time and labor-consuming step in the systematic and scoping literature review in medicine. Text mining methods, typically natural language processing (NLP), may efficiently replace manual abstract screening. This study applies NLP to a deliberately selected literature review problem, the trend of using NLP in medical research, to demonstrate the performance of this automated abstract review model.

Authors

  • Safoora Masoumi
    Pediatric Infectious Diseases Research Center, Mazandaran University of Medical Sciences, Sari, Iran. Safoora@unc.edu.
  • Hossein Amirkhani
    Computer and Information Technology Department, University of Qom, Qom, Iran.
  • Najmeh Sadeghian
    Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran.
  • Saeid Shahraz
    Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, USA.

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