Alzheimer's disease risk prediction using machine learning for survival analysis with a comorbidity-based approach.

Sci Rep · 2025 · PMC12328787 · PMID 40770222

Europe PMC DOI

hedged sentence

0.0600

closest p · 1.2× alpha

0.0600

boldest claim

The sentences

did not reach statistical significancep = 0.06so close (0.05 < p ≤ 0.1)

Specifically, individuals with renal issues showed significantly worse outcomes (log-rank p = 0.04), while differences related to endocrine/metabolic issues—including diabetes—did not reach statistical significance (log-rank p = 0.06).

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