Unsupervised Learning for Optimal Personalized Dietary Menus to Prevent Diabetes and Cardiovascular Diseases
Healthy diets can slow disease progression, but their effectiveness may decrease. Patients often give up these diets due to limited food choices, unappetizing meals, and reduced physical activity from cutting calories. To address this, we developed an intelligent nutritional balance system to prevent cardio-diabetic diseases. This system creates diets that optimize cholesterol and glycemic control through the following steps: (a) Characterizing Moroccan foods based on 19 nutrients and their glycemic load, (b) Classifying foods using a Gaussian mixture model, (c) Mode