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Feature fusion and selection The two feature groups were concatenated to form a fused representation (Equation 7): Before model training, invalid values were handled by the implementation defaults, and constant features were removed by variance filtering (Equation 8): The filtered matrix was then standardized as Equation 9:where and were computed from the training set

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1 AD is a condition that progressively deteriorates the neurons, leading to their degeneration

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Buffone, [email protected] These authors have contributed equally to this work Disclaimer All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers