Automatic disease diagnosis systems using pattern recognition based genetic algorithm and neural networks

International Journal of Physical Sciences

Mahdieh Adeli¹ 

关键词: Pattern recognition;    genetic algorithm;    neural networks;    classification.;   

DOI  :  10.5897/IJPS11.1075

学科分类：物理（综合）

来源: Academic Journals

【 摘 要 】

This paper presented three disease diagnosis systems using pattern recognition based on genetic algorithm (GA) and neural networks. All systems dealt with feature selection and classification. GA chose subsets of features for the input of the classifier (neural network) and the accuracy of the classifier determined the percentage of effectiveness of each subset of features. The classifiers using in this paper were general regression neural network (GRNN), radial basis function (RBF) and radial basis network exact fit (RBEF). It uses breast cancer and hepatitis disease datasets taken from UCI machine learning database as medical dataset. The system performances were estimated by classification accuracy and they were compared with similar methods without feature selection.

【 授权许可】

CC BY