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Digital biomarkers of mood disorders and symptom change

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References

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2015Current research and trends in the use of smartphone applications for mood disorders121 cited

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2021Measurement-Based and Data-Informed Psychological Therapy129 cited
2024The voice of depression: speech features as biomarkers for major depressive disorder95 cited
2019Using Digital Phenotyping to Accurately Detect Depression Severity94 cited
2021Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments92 cited
2020Digital health data-driven approaches to understand human behavior90 cited
2021FLIRT: A feature generation toolkit for wearable data

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72 cited

2020Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17–18 years70 cited

2022Digital phenotyping of generalized anxiety disorder: using artificial intelligence to accurately predict symptom severity using wearable sensors in daily life68 cited

2022A call for open data to develop mental health digital biomarkers23 cited

2022Predicting Changes in Depression Severity Using the PSYCHE-D (Prediction of Severity Change-Depression) Model Involving Person-Generated Health Data: Longitudinal Case-Control Observational Study20 cited

2024Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare18 cited

2024Perceptions of mental health providers of the barriers and facilitators of using and engaging youth in digital mental-health-enabled measurement based care18 cited

2023A narrative review of digital biomarkers in the management of major depressive disorder and treatment-resistant forms14 cited