Background Obesity is a leading cause of preventable death worldwide. Artificial
intelligence (AI), characterized by machine learning (ML) and deep learning (DL), has …

Childhood obesity is a widespread medical condition and presents a formidable challenge
for public health. Long-term treatment strategies and early prevention strategies are required …

Background An unhealthy diet or excessive amount of food intake creates obesity issues in
human beings that further may cause several diseases such as Polycystic Ovary Syndrome …

Obesity is associated with many chronic diseases that impair healthy aging and is governed
by genetic, epigenetic, and environmental factors and their complex interactions. This study …

Background: Depression and anxiety symptoms in early childhood have a major effect on
children's mental health growth and cognitive development. The effect of mental health …

The key factors playing a role in the pathogenesis of metabolic alterations observed in many
patients with obesity have not been fully characterized. Their identification is crucial, and it …

Previous studies demonstrate the feasibility of predicting obesity using various machine
learning techniques; however, these studies do not address the limitations of these methods …

Objective To develop an optimal screening model to identify the individuals with a high risk
of hypertension in China by comparing tree-based machine learning models, such as …

Medicine has evolved dramatically over the past century. There have been several
discoveries, from the invention of antibiotics to the identification of DNA, antipsychotics, and …

Background: The purpose of this study was to determine the influence of some eating habits
on body mass index (BMI) using a regression model created via the classification and …