Development of anti-diabetic drugs ontology for guideline-based clinical drugs recommend system using OWL and SWRL

Many kinds of anti-diabetic drugs that doctors could prescribe because of pharmaceutical progressing. Our study uses Protégé to build an anti-diabetic drugs ontology and a patient data ontology. The anti-diabetic drugs ontology was used to store medicine knowledge and the patient data ontology to store personal information. In this paper, we adopted the “Medical Guidelines for Clinical Practice for The Management of Diabetes Mellitus” provided by American Association of Clinical Endocrinologists with the help of an endocrinologist´s help in Taichung hospital, in Taiwan. The nature, class, contraindications, and side effects of the drugs were collated and analyzed completely to build an ontology. We used Semantic Web Rule Language (SWRL) to build rules related to anti-diabetic drugs. The ontology knowledge was transformed to a suit format for reasoning by the Reasoner. Finally Java Expert Systems Shell (JESS) was used for reasoning, and the appropriate anti-diabetic drugs were recommended with the information about what need to be monitored, contraindications and side effects. In the experiments, the system shows that SWRL and JESS were combined to analyze the conditions of the diabetic, and then the most appropriate drugs were suggested.