Bar Plot from Scientific Research

Left: body map of chronic pain sites. Right: bar plots grouped by modality, showing machine learning model performance (ROC-AUC) in distinguishing participants with specific pain sites from pain-free controls, as described in b. Bars represent mean test set ROC-AUC scores, with error bars indicating the 95% CI, estimated from 1,000 bootstrap samples over five iterations of fivefold CV (n = 25). Heritability estimates are shown for each pain site and are significant using a two-sided, FDR-corrected Wald test (all P FDR < 0.001), except for facial pain (P FDR = 0.093).

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