A Two-Stage Framework for Early Detection and Subtype Identification of Alzheimer's Disease Through Multimodal Biomarker Extraction and Improved GCN.

Brain Sci · 2026 · PMC13023738 · PMID 41892599

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closest p · 1.7× alpha

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boldest claim

The sentences

marginally significantp = 0.084so close (0.05 < p ≤ 0.1)

At the 50% feature level, the proposed method significantly outperformed MOGONET (mean difference: +0.077, p = 1.78 × 10 −15 ) and showed marginally significant improvement over Random Forest (mean difference: +0.028, p = 0.084).

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