Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study
Has this study been replicated?
The atlas records 1 replication of this study. Recorded outcomes: 1 mixed. The earliest on record is from 2023.
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). Journal of Medical Internet Research. 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.
Outcome read from the abstract. View paper
Cite this record
Currey, D., & Torous, J. (2022). Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study. JMIR Research Protocols, 11(11), e37954. https://doi.org/10.2196/37954
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