Food Nutrition Analysis for Health Using Data Mining Techniques

Abstract

Nowadays, manufactured food is used in most of our diet, which is related to food nutrition. Food
Nutrition system is a concept widely used but there is little systematic framework that can model
the entire food nutrition system. Processing on the structure and composition of food has a major
impact on the nutritional value. If adolescents consume a large amount of the super processed
food, they risk a rise in obesity and diabetes. As such, the author developed a system using Data
Mining Techniques to improve the food nutrition values for users. It helped to identify the habits
of the teenagers and their ability to make decisions. Furthermore, this project was aimed at
investigating the role and relationship among food, health and the environment, as well as their
chronic micronutrient deficiency (also known as “hidden hunger”).