The recommendation of medicines based on multiple criteria decision making and domain ontology — An example of anti-diabetic medicines

A recommendation system can help user to make requirement analysis and to recommend better decision from much complex information. This research is concentrated on medical prescription recommendation. According to the statistics of Department of Health, diabetes was the top ten of death in Taiwan. Therefore, developing an effective treatment for diabetes is very important. The purpose of this study is to develop a decision support system to assist a doctor to make more appropriate decision in selecting drugs. We first built the ontology of diabetic knowledge and compute medication by multiples criteria decision making method (MCDM). The entropy was used to compute data of patient's history and then take this result to integrate medicine knowledge ontology to list appropriate medications. Finally, more suitable medications are recommended to doctors. Primary experiments proof our method is useful.