Published on in Vol 5 (2026)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/87819, first published
.
Methodological Approaches to and Reported Performance of Applications of Automated Machine Learning in Diabetes Risk Prediction: Rapid Review
Methodological Approaches to and Reported Performance of Applications of Automated Machine Learning in Diabetes Risk Prediction: Rapid Review
1 Faculté des sciences infirmières, Université de Montréal, Montréal, QC, Canada
2 Département de médecine sociale et préventive, Université de Montréal, Montréal, QC, Canada
3 Centre de recherche Azrieli, CHU Sainte-Justine, Montréal, QC, Canada