Ontology based clinical decision support system for diabetes diagnostic

This paper presents a diagnosis and treatment recommendation system for diabetes. The system considers patient information, symptoms and signs, risk factors and lab tests and suggests a treatment plan according to the diabetes type as recommended by the Clinical Practice Guidelines (CPG). The work consisted in the acquisition, modeling and implementation of diabetes domain expertise from experts, the CPG and other sources to develop a domain ontology and a decision support system to handle the diabetes in an early stage. The proposed system uses an ontology to allow a standard representation of domain concepts and relationships and enable clinical knowledge sharing, update and reuse. The proposed ontology is designed and developed by OWL-DL, the rules are constructed by the Semantic Web Rule Language (SWRL) and executed by JESS inference engine.