A New Method For Feature Selection in Diagnosis Using DEMATEL and ANP; Case Study: Asthma

Abstract

Disease is one of the effective factors in decreasing life quality of human beings and since many factors are effective in engendering this disease and each of these effective factors can cause prevalence and aggravation of disease, recognition of risk factors and also relationships among these factors are so important. Using the opinion of experts can make new method in intelligent systems of disease recognition. In the present research at first we mentioned the relationships among asthma disease factors by using experts’ opinion in group decision making method, DEMATEL and then we extracted the most important factors by analysis network path (ANP) and since risk factors are different in multiple countries, for recognition of  local factors in Iran country, database including 325 cases of asthmatic and non-asthmatic disease is prepared and the most important risk factors of asthma disease in Iran society are recognized. The results of research show that the most important variables of asthma disease in Iran country are genetic factors of individuals, wheeze and environmental pollution.

Keywords: DEMATEL, ANP, Feature Selection, Asthma