Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study.

Journal: Journal of medical Internet research
Published Date: Mar 13, 2023

Abstract

BACKGROUND: Assessment of the quality of medical evidence available on the web is a critical step in the preparation of systematic reviews. Existing tools that automate parts of this task validate the quality of individual studies but not of entire bodies of evidence and focus on a restricted set of quality criteria.

Authors

  • Simon Šuster
    Computational Linguistics and Psycholinguistics (CLiPS) Research Center, University of Antwerp, Prinsstraat 13, 2000 Antwerp, Belgium. Electronic address: simon.suster@uantwerpen.be.
  • Timothy Baldwin
    School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
  • Jey Han Lau
    School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
  • Antonio Jimeno Yepes
    IBM Research Australia, Melbourne, VIC, Australia. Electronic address: antonio.jimeno@au1.ibm.com.
  • David Martinez Iraola
    Doctor Evidence LLC, Santa Monica, CA, United States.
  • Yulia Otmakhova
    School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
  • Karin Verspoor
    Dept of Computing and Information Systems, School of Engineering, University of Melbourne, Melbourne, Australia.

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