Development and validation of a machine learning model for predicting depression risk in rural Chinese older adults: Evidence from the CHARLS cohort

Machine learning models based on CHARLS data show potential to identify depression risk in rural older adults. Key risk factors include older age, female sex, chronic disease, pain, poor sleep, and cognitive decline. These findings support precise and early mental health interventions in underserved aging populations.