期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2017
卷号：8
期号：4
页码：526-534
出版社：Engg Journals Publications
摘要：In this study, we proposed an automated methodology to analyze and detect and analyzehepatitis by using tongue images analysis based on genetic algorithm–support vector machine. There is astrong association in between the characteristics of tongue and human health diagnosis. GA-SVMs areused to establish a relationship between diseases like appendicitis, diabetes and characteristics of tongue.All the tongue samples are captured with the help of TDA-2 device. GA-SVMs are trained and tested withfeatures like texture and chromatic information obtained from tongue image samples. GA-SVMclassification accuracy of hepatitis is enhanced by obtaining unbiased features of tongue image samples.Proposed methodology achieved high accuracy by providing relevant data in training phase andremoving irrelevant data. Tongue is very important organ in modern medical treatment as well as inAyurveda medical treatment which is useful to detect and analyze diseases like appendicitis, pancreas,liver related diseases and diabetes. Experiments are performed on data set consisting of 1298 healthy and2057 disease tongue samples. The accuracy of tongue images related to hepatitis is 93.74%.
关键词：GA-SVM; appendicitis; diabetes; tongue and medical treatment.
