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Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem
11 references·0 citing·55 second hopsampled
Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem (2022)Digital Biomarkers in Psychiatric Researc…Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments (2021)Digital biomarkers of anxiety…Assessing Social Anxiety Through Digital Biomarkers Embedded in a Gaming Task (2021)Assessing Social Anxiety Thro…Ethics of Digital Mental Health During COVID-19: Crisis and Opportunities (2020)Ethics of Digital Mental Heal…Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors (2020)Digital Biomarkers of Social …The Potential of Game-Based Digital Biomarkers for Modeling Mental Health (2019)The Potential of Game-Based D…Digital biomarkers of mood disorders and symptom change (2019)Digital biomarkers of mood di…Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review (2019)Digital biomarkers from geolo…Transforming Psychiatry into Data-Driven Medicine with Digital Measurement Tools (2018)Transforming Psychiatry into …Prospective acceptance of distinct mobile mental health features in psychiatric patients and mental health professionals (2018)Prospective acceptance of dis…mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge (2016)mHealth for Schizophrenia: Pa…Invited Commentary on Stewart and Davis “ ‘Big data’ in mental health research—current status and emerging possibilities” (2016)Invited Commentary on Stewart…Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia (2014)Smartphone Apps for Schizophrenia: A Systematic Review (2015)The application of mHealth to mental health: opportunities and challenges (2015)The WPA- Lancet Psychiatry Commission on the Future of Psychiatry (2017)Barriers to and Facilitators of Engagement With mHealth Technology for Remote Measurement and Management of Depression: Qualitative Analysis (2018)Factors affecting implementation of digital health interventions for people with psychosis or bipolar disorder, and their family and friends: a systematic review (2018)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Digital Phenotyping (2017)Is the Automation of Digital Mental Health Ethical? Applying an Ethical Framework to Chatbots for Cognitive Behaviour Therapy (2021)Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling (2021)The Psychedelic Future of Post-Traumatic Stress Disorder Treatment (2024)Psychische Störungen in der Allgemeinbevölkerung (2014)Can smartphone mental health interventions reduce symptoms of anxiety? A meta-analysis of randomized controlled trials (2017)The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials (2017)Smartphone psychology: New approaches towards safe and efficacious mobile mental health apps. (2019)Connected Mental Health: Systematic Mapping Study (2020)Mental Health Professionals’ Attitudes Toward Digital Mental Health Apps and Implications for Adoption in Portugal: Mixed Methods Study (2023)The global burden of mental disorders: An update from the WHO World Mental Health (WMH) Surveys (2009)Method matters: Understanding diagnostic reliability in DSM-IV and DSM-5. 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(2000)The Potential of Video Game Streaming as Exposure Therapy for Social Anxiety (2021)The Use of Videogames and Virtual Reality for the Assessment of Anxiety and Depression: A Scoping Review (2022)Cruising Queer HCI on the DL: A Literature Review of LGBTQ+ People in HCI (2024)The Economic Burden of Anxiety Disorders in the 1990s (1999)Global prevalence of anxiety disorders: a systematic review and meta-regression (2012)Mortality in Mental Disorders and Global Disease Burden Implications (2015)Personalized mood prediction from patterns of behavior collected with smartphones (2024)The future of psychological treatments: The Marburg Declaration (2024)Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review (2025)
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References

  • 2020Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors162 cited
  • 2019Digital biomarkers of mood disorders and symptom change160 cited
  • 2016mHealth for Schizophrenia: Patient Engagement With a Mobile Phone Intervention Following Hospital Discharge136 cited
  • 2021Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments92 cited
  • 2020Ethics of Digital Mental Health During COVID-19: Crisis and Opportunities82 cited
  • 2019The Potential of Game-Based Digital Biomarkers for Modeling Mental Health80 cited
  • 2019Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review69 cited
  • 2018Transforming Psychiatry into Data-Driven Medicine with Digital Measurement Tools66 cited
  • 2018Prospective acceptance of distinct mobile mental health features in psychiatric patients and mental health professionals35 cited
  • 2021Assessing Social Anxiety Through Digital Biomarkers Embedded in a Gaming Task30 cited
  • 2016Invited Commentary on Stewart and Davis “ ‘Big data’ in mental health research—current status and emerging possibilities”7 cited

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