Published on in Vol 11, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30956, first published .
Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Reporting of Model Performance and Statistical Methods in Studies That Use Machine Learning to Develop Clinical Prediction Models: Protocol for a Systematic Review

Colin George Wyllie Weaver   1 , BSc ;   Robert B Basmadjian   1 , MSc ;   Tyler Williamson   1 , PhD ;   Kerry McBrien   1, 2 , MPH, MD ;   Tolu Sajobi   1 , PhD ;   Devon Boyne   3 , PhD ;   Mohamed Yusuf   4 , MSc ;   Paul Everett Ronksley   1 , PhD

1 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

2 Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

3 Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

4 Faculty of Science & Engineering, Manchester Metropolitan University, Manchester, United Kingdom

Corresponding Author:

  • Paul Everett Ronksley, PhD
  • Department of Community Health Sciences
  • Cumming School of Medicine
  • University of Calgary
  • Teaching, Research, and Wellness Building 3E18B
  • 3280 Hospital Drive NW
  • Calgary, AB, T2N 4Z6
  • Canada
  • Phone: 1 403-220-8820
  • Email: peronksl@ucalgary.ca