Background and aims Obesity is a chronic disease which can cause severe metabolic
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …

Background: The global obesity epidemic demands innovative approaches to understand its
complex environmental and social determinants. Spatial technologies, such as geographic …

Objective Identifying children at high risk of developing obesity can offer a critical time to
change the course of the disease before it establishes. Numerous studies have tried to …

This research study investigates and predicts the obesity prevalence in Missouri, utilizing
deep neural visual features extracted from medium-resolution satellite imagery (Sentinel-2) …

Background and aims: Obesity is a chronic disease which can cause severe metabolic
disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to …

Background: Obesity, a multifactorial and complex health condition, has emerged as a
significant global public health concern. Integrating machine learning techniques into …

With the digitization of health records over the last two decades there is a large amount of
health records data collected electronically. This data provides unprecedented research …