Published on in Vol 11 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68952, first published .
Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and Implementation

Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and Implementation

Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and Implementation

Andrew D Pinto   1, 2, 3, 4 , MSc, MD, CCFP ;   Sharon Birdi   1 , MBT ;   Steve Durant   1 , PhD ;   Roxana Rabet   1 , MSc ;   Rahul Parekh   1, 5 , MD ;   Shehzad Ali   6, 7, 8 , PhD ;   David Buckeridge   9 , MSc, MD, PhD ;   Marzyeh Ghassemi   10 , MSc, PhD ;   Jennifer Gibson   11 , MA, PhD ;   Ava John-Baptiste   12 , PhD ;   Jillian Macklin   1, 13 , MD, PhD ;   Melissa D McCradden   4, 14, 15 , MHSc, PhD ;   Kwame McKenzie   16, 17 , MBBS ;   Parisa Naraei   18 , PhD ;   Akwasi Owusu-Bempah   19 , MA, PhD ;   Laura C Rosella   4, 20, 21, 22 , MHSc, PhD ;   James Shaw   23 , MPT, PhD ;   Ross Upshur   3, 4, 11 , MA, MSc, MD, CCFP ;   Sharmistha Mishra   24, 25, 26, 27, 28 , MSc, MD, PhD

1 Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada

2 Department of Family and Community Medicine, St. Michael’s Hospital, Toronto, ON, Canada

3 Department of Family and Community Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

4 Division of Clinical Public Health, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

5 Department of Family Medicine, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada

6 Department of Epidemiology and Biostatistics, Western Centre for Public Health & Family Medicine, Western University, London, ON, Canada

7 WHO Collaborating Centre for Knowledge Translation and Health Technology Assessment in Health Equity, Ottawa, ON, Canada

8 Department of Health Sciences, University of York, York, United Kingdom

9 Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montreal, QC, Canada

10 Department of Electrical Engineering and Computer Science (EECS) and Institute for Medical Engineering and Science (IMES), Massachusetts Institute of Technology, Cambridge, MA, United States

11 Joint Centre for Bioethics, University of Toronto, Toronto, ON, Canada

12 Departments of Epidemiology and Biostatistics, Anesthesia and Perioperative Medicine, and Schulich Interfaculty Program in Public Health, Western University, London, ON, Canada

13 Undergraduate Medical Education, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

14 Department of Bioethics, Hospital for Sick Children, Toronto, ON, Canada

15 Australian Institute for Machine Learning, University of Adelaide, Adelaide, Australia

16 Wellesley Institute, Toronto, ON, Canada

17 Centre for Addiction and Mental Health, Toronto, ON, Canada

18 Department of Computer Science, Toronto Metropolitan University, Toronto, ON, Canada

19 Department of Sociology, Faculty of Arts and Sciences, University of Toronto, Toronto, ON, Canada

20 Institute for Better Health, Trillium Health Partners, Toronto, ON, Canada

21 Department of Laboratory Medicine and Pathobiology, Temerty Faculty of Medicine, Toronto, ON, Canada

22 Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

23 Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

24 Division of Infectious Diseases, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

25 MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada

26 Management and Evaluation, and Division of Epidemiology, Institute of Health Policy, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada

27 Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada

28 Institute for Clinical Evaluative Sciences, Toronto, ON, Canada

Corresponding Author:

  • Andrew D Pinto, MSc, MD, CCFP
  • Upstream Lab, MAP Centre for Urban Health Solutions
  • Li Ka Shing Knowledge Institute, Unity Health Toronto
  • 30 Bond Street
  • Toronto, ON M5B 1W8
  • Canada
  • Phone: 1 4168646060 ext 76148
  • Email: andrew.pinto@utoronto.ca