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Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study

Danielle Currey, John Torous

JMIR Research Protocols, 2022. DOI 10.2196/37954

Has this study been replicated?

The atlas records 1 replication of this study. Recorded outcomes: 1 mixed.

Replications

• Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model, Currey & Torous (2023). Outcome recorded: mixed. The area under the curve values for the symptom prediction model ranged from 0.58 for the UCLA Loneliness Scale to 0.71 for the Patient Health Questionnaire-9. View paper

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