Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. (arXiv:2209.11372v1 [cs.LG])

The assessment of Alzheimer's Disease (AD) and Mild Cognitive Impairment
(MCI) associated with brain changes remains a challenging task. Recent studies
have demonstrated that combination of multi-modality imaging techniques can
better reflect pathological characteristics and contribute to more accurate
diagnosis of AD and MCI. In this paper, we propose a novel tensor-based
multi-modality feature selection and regression method for diagnosis and
biomarker identification of AD and MCI from normal controls. Specifically, we
leverage the tensor structure to exploit high-level correlation …

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