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Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

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References

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Cited by

2024From smartphone data to clinically relevant predictions: A systematic review of digital phenotyping methods in depression

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2021Tracking and Monitoring Mood Stability of Patients With Major Depressive Disorder by Machine Learning Models Using Passive Digital Data: Prospective Naturalistic Multicenter Study76 cited

2020Smartphone-Based Self-Monitoring, Treatment, and Automatically Generated Data in Children, Adolescents, and Young Adults With Psychiatric Disorders: Systematic Review57 cited

2022Smartphone-Tracked Digital Markers of Momentary Subjective Stress in College Students: Idiographic Machine Learning Analysis40 cited

2023Mobile Technologies for Supporting Mental Health in Youths: Scoping Review of Effectiveness, Limitations, and Inclusivity37 cited

2021Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study28 cited

2025Smartphone digital phenotyping in mental health disorders: A review of raw sensors utilized, machine learning processing pipelines, and derived behavioral features26 cited

2023Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study25 cited

2025Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data22 cited

2024A collaborative realist review of remote measurement technologies for depression in young people21 cited

2023A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning–Based Approach19 cited

2022Turning data into better mental health: Past, present, and future12 cited

2023Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study11 cited

2024Developing prediction algorithms for late-life depression using wearable devices: a cohort study protocol8 cited

2026Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review6 cited

2024AI-Based Mental Health Assessment for Adolescents Using Their Daily Digital Activities6 cited