Published on in Vol 23, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24408, first published .
Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology

Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology

Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology

Ned English   1 , MSc ;   Andrew Anesetti-Rothermel   2 , MPH, PhD ;   Chang Zhao   1 , PhD ;   Andrew Latterner   1 , BA ;   Adam F Benson   3 , MSPH ;   Peter Herman   1 , MA ;   Sherry Emery   1 , PhD ;   Jordan Schneider   3 , MPH ;   Shyanika W Rose   4 , MA, MPH, PhD ;   Minal Patel   3 , MPH, PhD ;   Barbara A Schillo   3 , PhD

1 NORC at the University of Chicago, Chicago, IL, United States

2 Center for Tobacco Products, US Food and Drug Administration, Silver Spring, MD, United States

3 Truth Initiative Schroeder Institute, Washington, DC, United States

4 Department of Behavioral Science, College of Medicine and the Center for Health Equity Transformation, University of Kentucky, Lexington, KY, United States

Corresponding Author:

  • Ned English, MSc
  • NORC at the University of Chicago
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