The nutrients of chronic diet recommended based on domain ontology and decision tree

In recent years, due to the development and advance in information science and technology, people care more about the healthy diet, so diet types gradually change and take more focus on health management. Nowadays, it is becoming an aging society in Taiwan people have irregular life, long-term unhealthy diet, work pressure and other factors to be chronic disease, such as diabetes, hypertension and high cholesterol, and so on. However, most of the dietary recommendation system cannot give the dietary recommendations for patients of chronic diseases. The patients care what foods are edible, but they do not notify whether the nutrients are in balance. Therefore, this study built a diet recommendation system of chronic diseases with an expert knowledge, and gave chronic diseases more convenient and more precise dietary recommendations. In this study, we use ontology, decision tree and Jena to build the recommendation system. The dietary recommendations result is through assessment of dietitians, and verification accuracy is 100%. Therefore, this system of dietary recommendations can provide dietary recommendation of nutrient for patients of chronic diseases to achieve convenient and healthy diet.