Limited discriminative utility of resting-state heart rate variability for chronic pain–depression–anxiety comorbidity subtypes: an exploratory SHAP-based machine-learning analysis
This exploratory study utilizing SHAP-based machine learning found that resting-state heart rate variability has limited and unstable discriminative utility for distinguishing chronic pain–depression–anxiety comorbidity subtypes, particularly pain-depression and pain-anxiety dominant presentations, suggesting it is insufficient as a standalone biomarker for such classification.