Performance and usability of machine learning for screening in systematic reviews a comparative evaluation of three tools

BACKGROUND: Machine learning tools can expedite systematic review (SR) completion by reducing manual screening workloads, yet their adoption has been slow. Evidence of their reliability and usability may improve their acceptance within the SR community. We explored the performance of three tools whe...

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Bibliographic Details
Main Author: Gates, Allison
Corporate Authors: United States Agency for Healthcare Research and Quality, University of Alberta Evidence-based Practice Center
Format: eBook
Language:English
Published: Rockville, MD Agency for Healthcare Research and Quality November 2019, 2019
Series:Methods research report
Online Access:
Collection: National Center for Biotechnology Information - Collection details see MPG.ReNa
Table of Contents:
  • includes bibliographical references