https://scholars.lib.ntu.edu.tw/handle/123456789/477924
標題: | Application of genetic algorithm-based intuitionistic fuzzy neural network to medical cost forecasting for acute hepatitis patients in emergency room | 作者: | Kuo R.J. Cheng W.C. WAN-CHING LIEN Yang T.J. |
公開日期: | 2019 | 卷: | 37 | 期: | 4 | 起(迄)頁: | 5455-5469 | 來源出版物: | Application of genetic algorithm-based intuitionistic fuzzy neural network to medical cost forecasting for acute hepatitis patients in emergency room | 摘要: | Taiwan is an endemic area for chronic hepatitis disease. Since the early 1980's, liver cancer has become the first cancer mortality causes among other cancers in Taiwan. Besides, liver cirrhosis and chronic liver diseases are the sixth rank and seventh rank in the causes of death, respectively. This is a serious disease affecting people's health and it brings a lot of medical cost as well. This study develops a medical cost forecasting model for the acute hepatitis patients in the emergency room. In order to consider the uncertainty and hesitation in the human being's thinking, this study employs the intuitionistic fuzzy logic (IFL) since it considers membership, non-membership, and hesitation values simultaneously. The proposed model combines the intuitionistic fuzzy neural network (IFNN) with Gaussian membership function and Yager-Generating function to enhance the performance of FNN. Furthermore, a back-propagation learning algorithm and genetic algorithm (GA) are applied in order to optimize the parameters and weights of the proposed IFNN. The proposed IFNN is applied to solve ten benchmark datasets including the nonlinear control and prediction problems. The computational results showed that the GA-IFNN is more efficient than conventional algorithms, such as an artificial neural network (ANN), a fuzzy neural network (FNN), and a support vector regression (SVR). In the real-world problem, the proposed method can really support physicians in planning medical resources and make a good decision to make the most efficient use of limited resources. ? 2019 - IOS Press and the authors. All rights reserved. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/477924 | ISSN: | 1064-1246 | DOI: | 10.3233/JIFS-190554 | SDG/關鍵字: | Backpropagation algorithms; Computational efficiency; Computer circuits; Diseases; Emergency rooms; Forecasting; Fuzzy inference; Fuzzy logic; Fuzzy sets; Genetic algorithms; Membership functions; Backpropagation learning algorithm; Continuous genetic algorithms; Conventional algorithms; Cost forecasting; Cost-forecasting model; Gaussian membership function; Intuitionistic fuzzy; Support vector regression (SVR); Fuzzy neural networks |
顯示於: | 醫學院附設醫院 (臺大醫院) |
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