USING COMPLEX FUZZY INFERENCE SYSTEM IN LIVER DISEASE DIAGNOSIS SUPPORT

Abstract

Disease diagnosis problem is a very popular problem in medicine. The early and accurate diagnosis will reduce the treatment cost and increase the probability of success for patients. In recent years, there were many researches related to medical support via machine learning methods. In this paper, we introduce the integration model including transfer learning and complex fuzzy set in order to solve this problem. Our proposed model is applied in a real data set related to liver diseases. This data set was collected from hospitals in Thai Nguyen to compare with different methods. The experimental results show that our model gets the best performance.