A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?

Journal: Systematic reviews
Published Date: Jun 18, 2019

Abstract

BACKGROUND: Although many aspects of systematic reviews use computational tools, systematic reviewers have been reluctant to adopt machine learning tools.

Authors

  • Annette M O'Connor
    College of Veterinary Medicine, Iowa State University, Ames, IA, 50011, USA. oconnor@iastate.edu.
  • Guy Tsafnat
    Centre for Health Informatics, Australian Institute of Health Innovation, The University of New South Wales, Sydney, NSW 2052, Australia.
  • James Thomas
    EPPI-Centre, Social Research Institute, University College London, London, England, UK.
  • Paul Glasziou
    Centre for Research on Evidence Based Practice, Bond University, 14 University Drive (Off Cottesloe Drive), Robina, QLD 4226, Australia.
  • Stephen B Gilbert
    College of Engineering, Iowa State University, Ames, IA, 50011, USA.
  • Brian Hutton
    Knowledge Synthesis Unit, Ottawa Hospital Research Institute, Ottawa, ON, K1H 8L6, Canada.

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