A Unified Framework for Survival Prediction: Combining Machine Learning Feature Selection with Traditional Survival Analysis in Heart Failure and METABRIC Breast Cancer.

Diagnostics (Basel) · 2026 · PMC12985148 · PMID 41828066

Europe PMC DOI

hedged sentence

0.4066

closest p · 8.1× alpha

0.4066

boldest claim

The sentences

did not reach statistical significancep = 0.4066not close (p > 0.1)

Although highly ranked by GBM and RSF, ejection fraction did not reach statistical significance in the univariable Cox model (HR = 1.25, p = 0.4066).

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