Cost-effectiveness of Microsoft Academic Graph with machine learning for automated study identification in a living map of coronavirus disease 2019 (COVID-19) research.

Journal: Wellcome open research
Published Date: Mar 26, 2024

Abstract

BACKGROUND: Identifying new, eligible studies for integration into living systematic reviews and maps usually relies on conventional Boolean updating searches of multiple databases and manual processing of the updated results. Automated searches of one, comprehensive, continuously updated source, with adjunctive machine learning, could enable more efficient searching, selection and prioritisation workflows for updating (living) reviews and maps, though research is needed to establish this. Microsoft Academic Graph (MAG) is a potentially comprehensive single source which also contains metadata that can be used in machine learning to help efficiently identify eligible studies. This study sought to establish whether: (a) MAG was a sufficiently sensitive single source to maintain our living map of COVID-19 research; and (b) eligible records could be identified with an acceptably high level of specificity.

Authors

  • Ian Shemilt
    EPPI-Centre, UCL Social Research Institute, University College London, London, London, WC1H 0NR, UK.
  • Anneliese Arno
    EPPI-Centre, UCL Social Research Institute, University College London, London, London, WC1H 0NR, UK.
  • James Thomas
    EPPI-Centre, Social Research Institute, University College London, London, England, UK.
  • Theo Lorenc
    Centre for Reviews and Dissemination, University of York, UK, York, Yorkshire, UK.
  • Claire Khouja
    Centre for Reviews and Dissemination, University of York, UK, York, Yorkshire, UK.
  • Gary Raine
    Centre for Reviews and Dissemination, University of York, UK, York, Yorkshire, UK.
  • Katy Sutcliffe
    EPPI-Centre, UCL Social Research Institute, University College London, London, London, WC1H 0NR, UK.
  • D'Souza Preethy
    EPPI-Centre, UCL Social Research Institute, University College London, London, London, WC1H 0NR, UK.
  • Irene Kwan
    EPPI-Centre, UCL Social Research Institute, University College London, London, London, WC1H 0NR, UK.
  • Kath Wright
    Centre for Reviews and Dissemination, University of York, UK, York, Yorkshire, UK.
  • Amanda Sowden
    Centre for Reviews and Dissemination, University of York, UK, York, Yorkshire, UK.

Keywords

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