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Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model

Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model

This enables mind LAMP to be a responsive app and use digital phenotyping–derived symptom prediction to help recommend individual app activities for a student. While mind LAMP did not offer just-in-time adaptive interventions in this study, we piloted the feasibility of responsive interventions using passive data features as a secondary aim. Such an exploration of feasibility is important, as few other apps have used digital phenotyping data in predictive models.

Danielle Currey, John Torous

J Med Internet Res 2023;25:e39258