Dietary Food Ingredients Recommendation for Patients with Hypertension Using a Genetic Algorithm

Hypertension is a disease of the cardiovascular system. People with hypertension are often not aware of their condition because hypertension does not show apparent symptoms. Measuring blood pressure is an excellent habit for identifying indications of hypertension symptoms quickly. Obesity is a risk factor for hypertension. Calorie restriction and a healthy diet can manage blood pressure. The Dietary Approach to Stop Hypertension (DASH) is a dietary program for maintaining blood pressure. Hypertension sufferers need to pay attention to the amount of sodium intake. Many researchers have successfully researched food recommendation systems using knowledge base methods. This method has the disadvantage of requiring manual updating if there is new data or knowledge. In this study, we develop a recommender system that uses a genetic algorithm to recommend dietary ingredients to people with hypertension. The genetic algorithm has the characteristics of providing optimal results and can adapt when the data is updated. The recommender system produces recommendations for food ingredients suitable for consumption by people with hypertension. We are testing the accuracy using the MAPE (Mean Absolute Percentage Error) method. The results indicate that the recommender system provides accurate recommendations for food ingredients for 45 people with hypertension, with an average MAPE of 25.668%.