A new expert system for diabetes disease diagnosis using modified spline smooth support vector machine

摘要: In recent years, the uses of intelligent methods in biomedical studies are growing gradually. this paper, a novel method for diabetes disease diagnosis using modified spline smooth support vector machine (MS-SSVM) is presented. To obtain optimal accuracy results, we used Uniform Design selection parameter. The performance evaluated 10-fold cross validation accuracy, confusion matrix, sensitivity and specificity. comparison with previous SSVM also was given. obtained classification 96.58%. results study showed that effective to detect very promising result compared previously reported results.