Lifestyle Classification for Recommendation of Excessive Sugar Consumption in Thai Teenagers

Healthy food consumption is one of the most important aspects of life. Consuming adequate nutrition may not only keep healthy but also prevent many diseases. The consumption of sugar should be given the same attention, as many foods, especially in Thailand, are prepared with sugar as the main ingredient. In addition, the personal health and behavior of consuming excessive amounts of sugar per day are neglected by ordinary consumers as well as teenagers and they are not properly recommended by experts. This study aims to create an automated, accurate, and suitable lifestyle classification of a recommendation system for Thai teenagers with different lifestyles and health conditions. A model of the decision tree was proposed in this study along with the optimized metric. The data is collected from 349 teenagers. The results show that the decision tree with Information Gain provides the highest accuracy of 95.90%.