Feature reduction is essential at the preprocessing stage of designing any reliable and fast disease diagnosis model. Addressing limitations like specificity, information loss, operating NP problem in polynomial time, this paper introduces a two-step hybrid feature selection approach to identify subset most relevant contributing features each medical dataset for constructing diagnostic The conc...