Weight-to-waist circumference index enhances interpretable machine learning models for screening depressive symptoms in middle-aged and elderly adults comorbid with hypertension and diabetes.
OBJECTIVE patients with comorbid hypertension and diabetes are at elevated risk of depressive symptoms, but simple metabolic predictors are insufficient. This study aimed to develop an interpretable machine learning model incorporating clinical data and novel composite indices for early screening of depressive symptoms...