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This paper is in the following e-collection/theme issue:

Obesity and Nutrition as Public Health Problem (455) Demographics of Users, Social & Digital Divide (994) Equity and Digital Divide (441) Prevention and Health Promotion (1533) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (150) Machine Learning (2306) Chronic Conditions (501) Obesity (126)

Published on in Vol 8, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37039, first published .
Aerial view of suburban neighborhood with autumn foliage and distant city skyline

Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach

Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach

Authors of this article:

Whitney S Brakefield1, 2 Author Orcid Image ;   Olufunto A Olusanya2 Author Orcid Image ;   Arash Shaban-Nejad2 Author Orcid Image
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