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Feature selection, on the other hand, identifies the most relevant features using statistical tests (e.g., t-test for binary classification, Mann-Whitney U test as a non-parametric alternative, and ANOVA for multiclass classification), Minimum Redundancy - Maximum Relevance (mRMR) for selecting uncorrelated and informative features, and Linear Discriminant Analysis Effect Size (LEfSe) for incorporating biological relevance [299]

how passive hyperthermia degrades working memory and executive function independently of hydration