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Exploratory analyses were conducted as a bottom-up approach where all potential passive sensing features were included in the same model to see which features emerged as most predictive.
The pursuit of these 3 aims combined to allow us to examine the utility of predicting depressive symptoms within a sample of college students using the Light GBM method, contributing to the knowledge base regarding ML and depression detection.
JMIR Form Res 2025;9:e67964
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Beyond Benchmarks: Evaluating Generalist Medical Artificial Intelligence With Psychometrics
J Med Internet Res 2025;27:e70901
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