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IMPROVED ARTIFICIAL NEURAL NETWORK THROUGH METAHEURISTIC METHODS AND ROUGH SET THEORY FOR MODERN MEDICAL DIAGNOSIS
2021
Indian Journal of Computer Science and Engineering
A novel meta-heuristic soft computing model with feature selection implemented using Rough set (RS) theory for the diagnosis of coronary artery disease in diabetes patients is proposed in this study. The binary classification method in multiclass classification problems is applied by the One Versus Rest approach (OVR) is incorporated. To avoid the redundancy problem, a mathematical approach known as rough-set theory (RS) is applied to identify the most significant features from the dataset. The
doi:10.21817/indjcse/2021/v12i4/211204161
fatcat:jslugzvbm5f4xmixchohazgtre