Diabetes and obesity are chronic diseases that are a burden to low-and middle-income
countries. We conducted this systematic review to understand gene–diet interactions …

Nowadays, increasingly more attention is being paid to a holistic approach to health, in
which diet contributes to disease prevention. There is growing interest in functional food that …

This study introduces the first-ever self-explanatory interface for diagnosing diabetes
patients using machine learning. We propose four classification models (Decision Tree (DT) …

With the rapid advancement and integration of Artificial Intelligence (AI) in medicine, the
need for new developments and accuracy in Machine Learning (ML) models and algorithms …

OBJECTIVE To assess the interactions between diet quality and genetic predisposition to
incident type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS Between 2006 and …

The prevalence of diabetes has been increasing in recent years, and previous research has
found that machine-learning models are good diabetes prediction tools. The purpose of this …

Background Both genetic and lifestyle factors contribute to the risk of type 2 diabetes, but the
extent to which there is a synergistic effect of the 2 factors is unclear. The aim of this study …

Background Lifestyle and longevity genes have different and important roles in the human
lifespan; however, the association between a healthy lifestyle in late-life and life expectancy …

Aims This study explored the associations of genetic susceptibility and adherence to a
healthy lifestyle with incident coronary heart disease (CHD) and stroke in individuals with …

Objectives To evaluate the individual and combined associations of five modifiable risk
factors with risk of type 2 diabetes among women with a history of gestational diabetes …