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 1, 4, 5 , PhD

1 Data Intelligence for Health Lab , Cumming School of Medicine , University of Calgary , Calgary , AB , CA

2 Department of Biomedical Informatics , Harvard Medical School , Harvard University , Boston , MA , US

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

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

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

Corresponding Author:

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