Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes.

Bioengineering (Basel) · 2025 · PMC11851660 · PMID 40001705

Europe PMC DOI

hedged sentence

0.0100

closest p · 0.2× alpha

0.0100

boldest claim

The sentences

did not reach statistical significancep > 0.01actually significant

Furthermore, the depression group had a higher AHI (33.5 ± 22.6 per h) than the control group (28.7 ± 14.6 per h), and this difference did not reach statistical significance ( p > 0.01).

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