crossrefInternational Journal of Environmental Research and Public Health2024-11-19Cited by 4
Application of Machine Learning and Deep Neural Visual Features for Predicting Adult Obesity Prevalence in Missouri
Butros M. Dahu, Carlos I. Martinez-Villar, Imad Eddine Toubal, Mariam Alshehri, Anes Ouadou, Solaiman Khan, et al.
This research study investigates and predicts the obesity prevalence in Missouri, utilizing deep neural visual features extracted from medium-resolution satellite imagery (Sentinel-2). By applying a deep convolutional neural network (DCNN), the study aims to predict the obesity r…