Using a Linear Programming Approach for Modeling the Optimal Diet Problem to Help Treat Hypertension

Abstract

The mathematical model of linear programming of the diet problem, specifically the diet, was used to reduce hypertension. In this work, we employed this model to reduce hypertension at the age of 31- 50 years for men. In our model, some foods that contain a low percentage of fat and in the same time rich in potassium, calcium, magnesium, iron, and vitamin E were used in addition to fiber and protein, which help in reducing hypertension and high harmful cholesterol percentage, which leads to reduce risks of cardiovascular disease. Therefore the new mathematical model which use the above foods provided us a balanced diet, which reduces the people daily financial cost.