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Applications of AI (391) Public (e)Health, Digital Epidemiology and Public Health Informatics (1157) mHealth for Data Collection and Research (1293) Big Data (320) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (150) Obesity and Nutrition as Public Health Problem (456) Development and Evaluation of Research Methods, Instruments and Tools (858) Artificial Intelligence (2475)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64362, first published .
Close-up of a white and gray analog bathroom scale showing a reading of 110kg

Geospatial Modeling of Deep Neural Visual Features for Predicting Obesity Prevalence in Missouri: Quantitative Study

Geospatial Modeling of Deep Neural Visual Features for Predicting Obesity Prevalence in Missouri: Quantitative Study

Authors of this article:

Butros M Dahu1 Author Orcid Image ;   Solaiman Khan1 Author Orcid Image ;   Imad Eddine Toubal1 Author Orcid Image ;   Mariam Alshehri1 Author Orcid Image ;   Carlos I Martinez-Villar1 Author Orcid Image ;   Olabode B Ogundele1 Author Orcid Image ;   Lincoln R Sheets1 Author Orcid Image ;   Grant J Scott1 Author Orcid Image
Article Authors Cited by (4) Tweetations (1) Metrics

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  1. Tanoto P, Ye H, Saffari S, Leow Y, Vipin A, Lee F, Ghildiyal S, Liew S, Mohammed A, Sandhu G, Aravindhan K, Bhalla G, Shaik Mohamed Salim R, Kandiah N. Detection of Vascular Mild Cognitive Impairment in Southeast Asia Using the Visual Cognitive Assessment Test: Machine Learning Analysis From the BIOCIS (Biomarkers and Cognition Study, Singapore). JMIR Aging 2025;8:e76847 View
  2. Tchitchui J, Wang Y, Luo X, Kolani K. A city-wide vegetation threshold for enhancing land surface temperature regulation and passive cooling in tropical built environments. Urban Climate 2026;67:102900 View
  3. Wójcik S, Tomaszewska M, Rulkiewicz A. Artificial Intelligence-Based Risk Stratification in Obesity Care: From Diagnosis to Personalised Treatment Pathways. Diagnostics 2026;16(10):1461 View

Conference Proceedings

  1. Khatri G, Mishra S, Sinha A, S P. 2026 3rd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE). Spatially Aware Poverty Mapping via Vision Transformers and Graph Neural Networks View