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

The global obesity epidemic demands innovative approaches to understand its complex environmental and social determinants. Spatial technologies, such as geographic information systems, remote sensing, and spatial machine learning, offer new insights into this health issue. This study uses deep learn...

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Veröffentlicht in:	JMIR AI 2024-12, Vol.3, p.e64362
Hauptverfasser:	Dahu, Butros M, Khan, Solaiman, Toubal, Imad Eddine, Alshehri, Mariam, Martinez-Villar, Carlos I, Ogundele, Olabode B, Sheets, Lincoln R, Scott, Grant J
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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