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Viewpoint and Opinions on Technology and Innovation in Public Health (203) Knowledge Translation and Implementation Science (775) Machine Learning (3147) Artificial Intelligence (4735) Data Science (701) Big Data for Health Promotion and Health Equity (74) Ethical, Legal, and Social Implications of Public Health Informatics (29) AI Applications in Public Health (100)

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 .
Two researchers analyze a brain scan on a large screen, one pointing.

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

Authors of this article:

Andrew D Pinto1, 2, 3, 4 Author Orcid Image ;   Sharon Birdi1 Author Orcid Image ;   Steve Durant1 Author Orcid Image ;   Roxana Rabet1 Author Orcid Image ;   Rahul Parekh1, 5 Author Orcid Image ;   Shehzad Ali6, 7, 8 Author Orcid Image ;   David Buckeridge9 Author Orcid Image ;   Marzyeh Ghassemi10 Author Orcid Image ;   Jennifer Gibson11 Author Orcid Image ;   Ava John-Baptiste12 Author Orcid Image ;   Jillian Macklin1, 13 Author Orcid Image ;   Melissa D McCradden4, 14, 15 Author Orcid Image ;   Kwame McKenzie16, 17 Author Orcid Image ;   Parisa Naraei18 Author Orcid Image ;   Akwasi Owusu-Bempah19 Author Orcid Image ;   Laura C Rosella4, 20, 21, 22 Author Orcid Image ;   James Shaw23 Author Orcid Image ;   Ross Upshur3, 4, 11 Author Orcid Image ;   Sharmistha Mishra24, 25, 26, 27, 28 Author Orcid Image
Article Authors Cited by (8) Tweetations (5) Metrics

Journals

  1. Nwokedi V, Ezeamii P, Olowookere A, Omolabake O. Integrating Real-Time Genomic Surveillance (Next-Generation Sequencing) with Epidemiological Models for Infectious Disease Intervention Planning. Epidemiology and Health Data Insights 2026;2(2):ehdi030 View
  2. Abdalla S, Galea S. Embracing complexity and innovation to tackle the social determinants of health. BMJ Global Health 2024;9(Suppl 1):e020610 View
  3. Wu E, Balise R, Katz B, Harris D, Bullard M, Fareed N, Larochelle M, Villani J. Building Public Health Data Dashboards: Tutorial Playbook. JMIR Public Health and Surveillance 2026;12:e83157 View
  4. de Souza-Lima J, Yáñez-Sepúlveda R, Giakoni-Ramírez F, Muñoz-Strale C, Alarcon-Aguilar J, Parra-Saldias M, Duclos-Bastias D, Godoy-Cumillaf A, Merellano-Navarro E, Bruneau-Chávez J, Farias-Valenzuela C. Predicting Physical Inactivity in Chilean Adults: A Comparison of Survey-Weighted Logistic Regression and Explainable Machine Learning Models. Data 2026;11(4):73 View
  5. Farrag M. The Role of Artificial Intelligence and Machine Learning in Predictive Virology: Forecasting, Tracking, and Combating Viral Threats. Vector-Borne and Zoonotic Diseases 2026 View
  6. Chen D, Xue Q, Wang G, Mu S, Zeng Z, Xu B, Li S, Chen Y, Gu W, Shi J. Clinical Evaluation of an AI-Assisted Decision Support System for General Anesthesia Management Based on Data From 6 Centers: Comparative Study. Journal of Medical Internet Research 2026;28:e90023 View
  7. Muhammad M, Sani J, Halane S. Integrating epidemiologic modeling and explainable machine learning to predict and identify factors associated with self-reported depression among adults in Tennessee, United States. Discover Mental Health 2026;6(1) View

Conference Proceedings

  1. Ahmed S, Choudhari S, Gaidhane A. 2026 IEEE 1st International Conference on Intelligent Technologies for a Sustainable and Inclusive Future (ICITSIF). Artificial Intelligence in Disease Surveillance View