Email this article USING COMPLEX FUZZY INFERENCE SYSTEM IN LIVER DISEASE DIAGNOSIS SUPPORT
About this article
Received: 06/02/20 Revised: 29/04/20 Published: 11/05/20Authors
1. Tran Thi Ngan
, Graduate University of Science and Technology – VAST,
Institution of Information Technology – VAST,
Thuyloi University,2. Nguyen Thi Dung, TNU - University of Information and Communication Technology
3. Nguyen Long Giang, Institution of Information Technology – VAST
4. Tran Manh Tuan, Thuyloi University
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.
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