Comparison of Machine Learning Models and the FMF Competing-Risks Algorithm for First-Trimester Preeclampsia Screening in a Romanian Cohort.

Diagnostics (Basel) · 2026 · PMC13206560 · PMID 42196907

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0.0870

closest p · 1.7× alpha

0.0870

boldest claim

The sentences

did not reach statistical significancep = 0.087so close (0.05 < p ≤ 0.1)

The FMF posterior model achieved an AUC of 0.93 but did not reach statistical significance (DeLong p = 0.087; bootstrap 95% CI: ML 0.70–0.97 vs.

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