Diabetes-focused food recommender system (DFRS) to enabling digital health.

ABSTRACT: The integration of digital health technologies into diabetes management has shown the potential to improve patient outcomes by providing personalized dietary recommendations. This study aims to develop and evaluate the Diabetes-Focused Food Recommender System (DFRS), a system designed to assist individuals with diabetes in making informed food choices. Using a combination of advanced machine learning algorithms, nutrition science, and digital health technologies, DFRS generates personalized recommendations tailored to individual needs. The methodology involves data collection from diverse patient profiles and model development using Graph Neural Networks (GNN) and other machine learning techniques. Hyperparameter tuning and rigorous performance evaluation were conducted to optimize system

SUBMITTER: Ahmed E 

PROVIDER: S-EPMC11819523 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature