Machine learning for screening prioritization in systematic reviews: comparative performance of Abstrackr and EPPI-Reviewer.

Journal: Systematic reviews
Published Date: Apr 2, 2020

Abstract

BACKGROUND: Improving the speed of systematic review (SR) development is key to supporting evidence-based medicine. Machine learning tools which semi-automate citation screening might improve efficiency. Few studies have assessed use of screening prioritization functionality or compared two tools head to head. In this project, we compared performance of two machine-learning tools for potential use in citation screening.

Authors

  • Amy Y Tsou
    Center for Clinical Excellence and Guidelines, ECRI Institute, Evidence-based Practice Center, 5200, Plymouth Meeting, PA, 19462-1298, USA. atsou@ecri.org.
  • Jonathan R Treadwell
    Center for Clinical Excellence and Guidelines, ECRI Institute, Evidence-based Practice Center, 5200, Plymouth Meeting, PA, 19462-1298, USA.
  • Eileen Erinoff
    Center for Clinical Excellence and Guidelines, ECRI Institute, Evidence-based Practice Center, 5200, Plymouth Meeting, PA, 19462-1298, USA.
  • Karen Schoelles
    Center for Clinical Excellence and Guidelines, ECRI Institute, Evidence-based Practice Center, 5200, Plymouth Meeting, PA, 19462-1298, USA.

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