Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67178, first published .
Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach

Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach

Predicting Clinical Outcomes at the Toronto General Hospital Transitional Pain Service via the Manage My Pain App: Machine Learning Approach

James Skoric   1, 2 * , BEng, MSc ;   Anna M Lomanowska   3 * , PhD ;   Tahir Janmohamed   2 , PEng, MBA ;   Heather Lumsden-Ruegg   4 , BA (Hon) ;   Joel Katz   3, 4, 5 , PhD ;   Hance Clarke   3, 5 , MD, PhD ;   Quazi Abidur Rahman   6 , PhD

1 Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada

2 ManagingLife, Toronto, ON, Canada

3 Transitional Pain Service, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, Toronto, ON, Canada

4 Department of Psychology, York University, Toronto, ON, Canada

5 Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada

6 Department of Computer Science, Trent University, Peterborough, ON, Canada

*these authors contributed equally

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