Computing Diet Composition for Patients with High Cholesterol Using Decision-Making Approach

Abstract

Cholesterol is a blended mixture that presents in tissues of the human body. Cholesterol and by-products of cholesterol are essential constituents of cell mucosa. A sudden increase in the level of cholesterol leads to increased risk of coronary heart diseases. Cholesterol is not required to be consumed as a part of the daily diet; human body can exaggerate cholesterol on its own. Cholesterol supports the proper functioning of human metabolism. Cholesterol is essential to build healthy body cells. Sudden increase in the level of cholesterol does not have any notable indication. Increased cholesterol levels in blood can only be suspected through a blood test. Factors such as poor diet, obesity, lack of exercise, smoking, age, and diabetes cause poor cholesterol level in the human body. Poor cholesterol level can cause complications like chest pain, heart attack, and stroke. Human liver secrets about 80% of the human body’s cholesterol and the other comes from the dietary constituents such as fish, meat, eggs, and dairy products. The proposed work suggests the dietary patterns to recommend a diet for patients with poor cholesterol level. This diet will help in maintaining a good cholesterol level. Analytic hierarchy process is used as a technique to implement this proposed work. Estimation of ideal diet has been recommended to patients with poor cholesterol level. The final outcomes reveal the ideal diet plan for the patients with a bad cholesterol level. This recommends the diets to be consumed by the patients at breakfast, lunch, and dinner. Fuzzy methods are used to validate our work. The final results are in match with the results obtained by analytic hierarchy process.