Apply Grey System Theory in the Weighting Analysis of Influence Factor for Liver Function

Abstract

According to the recent reports from the Department of Health, the liver disease becomes the first diseases in Taiwan. Hence, the paper mainly does an in-depth analysis on liver function diagnosis, and combines medical analysis with soft computing as our research kernel. Firstly, we select five influence factors according to the current medical analysis, in order to explore the nature of each factor, the expected input data is over 300 cases. Secondly, we make use of Nagai's method in grey system theory to convert a subjective judgment into an objective way of quantitative value, and get the mean as the output of weighting analysis. Then, the influence factors of liver function toward system's objective weighting are derived by means of GM(0,N) weighting analysis model. Besides, for complex calculation, we also develop a toolbox by using Matlab to verify our results. By the actual data and mathematic model of the subjects, we have deformed the influence factors of doctors' subjective weighting values, and have got objective weighting values for influence factor and those values are quite match with the traditional method. Thus, we can get a prototype of objective valuation of medical auxiliary platform on influence factors in liver functions.