Predicting clinical outcomes in Helicobacter pylori-positive patients using supervised learning through the integration of demographic and genomic features.

The Spearman correlation was highly significant (ρ = 0.915, p < 0.001; Supplementary Figure S9, left panel), which validates that SHAP can accurately capture feature importance in linear models.

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