Published on in Vol 10, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29398, first published .
A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation

A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation

A Deep Learning Approach to Refine the Identification of High-Quality Clinical Research Articles From the Biomedical Literature: Protocol for Algorithm Development and Validation

Wael Abdelkader   1 , MSc, MD ;   Tamara Navarro   1 , MLiS ;   Rick Parrish   1 , Dip T ;   Chris Cotoi   1 , BEng, EMBA ;   Federico Germini   1, 2 , MSc, MD ;   Lori-Ann Linkins   2 , MSc, MD ;   Alfonso Iorio   1, 2 , MD, PhD ;   R Brian Haynes   1, 2 , MD, PhD ;   Sophia Ananiadou   3, 4 , BA, DEA, PhD ;   Lingyang Chu   5 , BSc, PhD ;   Cynthia Lokker   1 , MSc, PhD

1 Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada

2 Department of Medicine, McMaster University, Hamilton, ON, Canada

3 Department of Computer Science, University of Manchester, Manchester, United Kingdom

4 The Alan Turing Institute, London, United Kingdom

5 Department of Computing and Software, Faculty of Engineering, McMaster University, Hamilton, ON, Canada

Corresponding Author:

  • Cynthia Lokker, MSc, PhD
  • Health Information Research Unit
  • Department of Health Research Methods, Evidence, and Impact
  • McMaster University
  • 1280 Main St W, CRL-137
  • Hamilton, ON, L8S 4K1
  • Canada
  • Phone: 1 9055259140 ext 22208
  • Email: lokkerc@mcmaster.ca