Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE.

Journal: Systematic reviews
Published Date: Oct 25, 2022

Abstract

BACKGROUND: Cluster randomized trials (CRTs) are becoming an increasingly important design. However, authors of CRTs do not always adhere to requirements to explicitly identify the design as cluster randomized in titles and abstracts, making retrieval from bibliographic databases difficult. Machine learning algorithms may improve their identification and retrieval. Therefore, we aimed to develop machine learning algorithms that accurately determine whether a bibliographic citation is a CRT report.

Authors

  • Ahmed A Al-Jaishi
    Lawson Health Research Institute, 800 Commissioners Rd E, London, ON, Canada. Ahmed.AlJaishi@lhsc.on.ca.
  • Monica Taljaard
    Clinical Epidemiology Program, School of Epidemiology and Public Health, Ottawa Hospital Research Institute, University of Ottawa, 501 Smyth Road, Ottawa, ON, Canada.
  • Melissa D Al-Jaishi
    London Health Sciences Centre, 800 Commissioners Rd E, London, ON, Canada.
  • Sheikh S Abdullah
    Department of Computer Science, Western University, 1151 Richmond St, London, ON, Canada.
  • Lehana Thabane
    Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, Canada.
  • P J Devereaux
    Population Health Research Institute, Hamilton, ON, Canada.
  • Stephanie N Dixon
    Lawson Health Research Institute, 800 Commissioners Rd E, London, ON, Canada.
  • Amit X Garg
    Department of Medicine, Division of Nephrology, Western University, London, ON, Canada.

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