An online interpretable machine learning model for predicting cardiometabolic multimorbidity risk in patients with type 2 diabetes mellitus.

Sci Rep · 2026 · PMC12894918 · PMID 41559245

Europe PMC DOI

hedged sentences

0.0540

closest p · 1.1× alpha

0.8180

boldest claim

The sentences

marginal significancep = 0.054so close (0.05 < p ≤ 0.1)

Notably, certain variables exhibited marginal significance in univariate analysis (e.g., BUN in the internal validation cohort, p = 0.054).

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did not reach statistical significancep = 0.818not close (p > 0.1)

Although the difference compared to the TabPFN model did not reach statistical significance ( p = 0.818), the overall efficacy of the Stacking model, when considering all evaluation indicators, was superior to that of TabPFN.

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