期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2019
卷号：7
期号：6
页码：3274-3280
DOI：10.15680/IJIRCCE.2019. 0706005
出版社：S&S Publications
摘要：Medical data processing models are predominant in medical knowledge analysis. This paper introduces
the Naïve Bayes (NB) classifier algorithmic rule, together with an improved feature selection technique, towards an
accurate finding of breast cancer, in its early stages. Performance of the NB classifier was seen to be noticeably
increased once unsuitable features were removed from the modelling method. Empirical verification re-establishes that
our hybrid feature-selection approach, using nominal set of attributes, enhances the results obtained from solitary
feature selection methods.
