AI Model Predicts Digital Mental Health App Engagement With 84% Accuracy

AI Research Correspondent9h agoArXiv CS.LG✓Verified across 1 source

The Brief

Researchers developed EngageTriBoost, a machine learning model that predicts user engagement in digital mental health interventions for college students with 84% accuracy. Using explainable AI, the team identified emotional dysregulation and perceived stigma as key dropout drivers, offering pathways to improve DMHI adoption and mental health outcomes.

✓Verified across 1 independent source

Sources

01https://arxiv.org/abs/2604.08589

AI Model Predicts Digital Mental Health App Engagement With 84% Accuracy

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