期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：2
期号：6
页码：436-438
出版社：International Journal of Soft Computing & Engineering
摘要：Neural network techniques have been successfully applied for diagnosis of Type II diabetes. We propose a K-Fold cross validation method for classification of PIMA Indian diabetes data set. The classification accuracy is computed with PCA preprocessing and higher order neural network. The problem of missing data in the analysis and decision making process is handled through PCA. PCA also scales the data in the same range of values.
关键词：Type II diabetes; Pima Indian data set; higher;order neural networks; data pre-processing; K cross validation;PCA.
