Ontology-based Obesity Tracking System for Children and Adolescents

Abstract

Obesity is a public health problem that has become widespread worldwide. Obesity may increase the risk for many health problems such as early puberty, Type 2 diabetes, certain types of cancer, high blood pressure, heart diseases, and sleep apnea. The detection of obesity in children and adolescents at early stages is important and it is crucial to start individual based treatments. Due to the widespread use of smart mobile devices among family members and increasing number of m-Health applications to fight against obesity as well as other diseases, m-Health applications can be a good choice for early detection of obesity in childhood and adolescence stages. Recently, many studies about mobile-based obesity tracking system that mostly for adults have been done. This research study especially emphases obesity management in childhood and adolescence stages with the contribution of Semantic Web technology. Therefore, the system is an ontology-based obesity tracking system for children and adolescents which has its own Obesity Tracking Ontology and medical semantic rule knowledge base with an inference engine.