Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change Project.

Journal: Wellcome open research
Published Date: Nov 20, 2024

Abstract

BACKGROUND: Using reports of randomised trials of smoking cessation interventions as a test case, this study aimed to develop and evaluate machine learning (ML) algorithms for extracting information from study reports and predicting outcomes as part of the Human Behaviour-Change Project. It is the first of two linked papers, with the second paper reporting on further development of a prediction system.

Authors

  • Robert West
    Research Department of Behavioural Science and Health, University College London, London, England, UK.
  • Francesca Bonin
    IBM Research Europe, Dublin, Ireland.
  • James Thomas
    EPPI-Centre, Social Research Institute, University College London, London, England, UK.
  • Alison J Wright
    Institute of Pharmaceutical Science, King's College London, London, England, UK.
  • Pol Mac Aonghusa
    IBM Research Europe, Dublin, Ireland.
  • Martin Gleize
    IBM Research Europe, Dublin, Ireland.
  • Yufang Hou
    IBM Research Europe, Dublin, Ireland.
  • Alison O'Mara-Eves
    EPPI-Centre, Social Research Institute, University College London, London, England, UK.
  • Janna Hastings
    Institute for Implementation Science in Health Care, Faculty of Medicine, University of Zurich, Zürich, Zurich, Switzerland.
  • Marie Johnston
    Aberdeen Health Psychology Group, University of Aberdeen, Aberdeen, Scotland, UK.
  • Susan Michie
    Centre for Behaviour Change, University College London, London, England, UK.

Keywords

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