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Da-Hua Chen

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Open access Sep 2026

Activity-function transitions and interpretable machine learning for predicting incident depressive symptoms among ACE-exposed middle-aged and older adults: a multi-cohort study

Background Ad--verse childhood experiences (ACEs) are associated with increased risk of depressive symptoms in later life. This study aimed to develop and externally validate an interpretable machine-learning model for predicting incident depressive symptoms among ACE-exposed middle-aged and older adults. Methods Data...

Zhen-Hao Lin, Yuwen Shangguan, Young-Je Sim et al. · 0 citations

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