Paper Title
An Ontology For Diabetes Early Warning System

Abstract
Diabetes mellitus is one of the common diseases with a high prevalence across Saudi society. Diabetes is a chronic disease where human body is not able to produce the insulin or use it properly. There is a wealth of hidden information within Healthcare Information System (HIS) that can be used to support clinical decision-making in addition to useful information that can help healthcare provider to predict diseases before it occurs. This paper is about building the early warning system ontology. A models generated from the data mining algorithms will be used in building an early warning system that can benefit healthcare sector in providing prevention and control programs for community health improvement. Keywords- Diabetes, Early Warning, Chronic Disease Ontology