Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28749, first published .
Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Zahra Shakeri Hossein Abad   1, 2 , PhD ;   Gregory P Butler   3 , MSc ;   Wendy Thompson   3 , MSc ;   Joon Lee   2, 4, 5 , PhD

1 Department of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, United States

2 Data Intelligence for Health Lab, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

3 Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, Canada

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

5 Department of Cardiac Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada

Corresponding Author:

  • Joon Lee, PhD
  • Data Intelligence for Health Lab
  • Cumming School of Medicine
  • University of Calgary
  • 3280 Hospital Dr NW
  • Calgary, AB, T2N 4Z6
  • Canada
  • Phone: 1 403 220 2968
  • Email: joonwu.lee@ucalgary.ca