Feature selection is an NP-hard problem to remove irrelevant and redundant features with no predictive information increase the performance of machine learning algorithms. Many wrapper-based methods using metaheuristic algorithms have been proposed select effective features. However, they achieve differently on medical data, most them cannot find those that may fulfill required accuracy in diag...