Activity-function transitions and interpretable machine learning for predicting incident depressive symptoms among ACE-exposed middle-aged and older adults: a multi-cohort study
An interpretable machine-learning framework integrating physical performance, physical activity, and health-related factors achieved moderate and externally validated prediction of incident depressive symptoms among ACE-exposed middle-aged and older adults.