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Digital phenotyping correlations in larger mental health samples: analysis and replication
5 references·16 citing·52 second hop
Digital phenotyping correlations in larger mental health samples: analysis and replication (2022)Digital phenotyping correlations in large…Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling (2021)Toward a Mobile Platform for …The digital clinic: Implementing technology and augmenting care for mental health (2020)The digital clinic: Implement…Psychometric Properties of the General Anxiety Disorder 7-Item (GAD-7) Scale in a Heterogeneous Psychiatric Sample (2019)Psychometric Properties of th…Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach (2019)Creating a Digital Health Sma…The PHQ-9 (2001)The PHQ-9The Current State/ Trends in Digital Phenotyping for Mental Health Research and Care (2025)The Current State/ Trends in …Smartphone digital phenotyping in mental health disorders: A review of raw sensors utilized, machine learning processing pipelines, and derived behavioral features (2025)Smartphone digital phenotypin…Smartphone Apps and Digital Tools for Managing Schizophrenia and Psychotic Disorders: A Clinical Review (2025)Smartphone Apps and Digital T…Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants (2025)Large-scale digital phenotypi…Harnessing Digital Phenotyping for Early Self-Detection of Psychological Distress (2025)Harnessing Digital Phenotypin…The Relation Between Passively Collected GPS Mobility Metrics and Depressive Symptoms: Systematic Review and Meta-Analysis (2024)The Relation Between Passivel…Passive sensing data predicts stress in university students: a supervised machine learning method for digital phenotyping (2024)Passive sensing data predicts…Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)Machine Learning for Multimod…Integrated Digital Mental Health Care: A Vision for Addressing Population Mental Health Needs (2024)Integrated Digital Mental Hea…Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering (2024)Digital biomarkers in depress…Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study (2024)Differential temporal utility…Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study (2023)Understanding Mental Health C…Risk scores in digital psychiatry: Expanding the reach of complex smartphone data by condensing it into simple results (2023)Risk scores in digital psychi…Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research (2023)Exploring the Potential of Ap…Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study (2023)Digital Phenotyping for Mood …Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study (2022)Digital Phenotyping Data to P…An Inventory for Measuring Depression (1961)A New Depression Scale Designed to be Sensitive to Change (1979)The Structured Clinical Interview for DSM-III-R (SCID) (1992)The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)The Patient Health Questionnaire-2 (2003)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)The Lancet Commission on global mental health and sustainable development (2018)Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020)Digital Mental Health Challenges and the Horizon Ahead for Solutions (2021)The Journal of the American Academy of Psychiatry and the Law. (2021)Designing and scaling up integrated youth mental health care (2022)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)The role of perceived social support on depression and sleep during the COVID-19 pandemic (2020)Stress, Anxiety, and Depression Among Undergraduate Students during the COVID-19 Pandemic and their Use of Mental Health Services (2021)The prevalence of depressive symptoms, anxiety symptoms and sleep disturbance in higher education students during the COVID-19 pandemic: A systematic review and meta-analysis (2021)The Working Alliance: Theory, Research, and Practice (1995)The world health report 2001 - Mental health: new understanding, new hope (2001)The Triple Aim: Care, Health, And Cost (2008)Making mental health more accessible in light of COVID-19: Scalable digital health with digital navigators in low and middle-income countries (2020)Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review (2023)Standardising the role of a digital navigator in behavioural health: a systematic review (2023)The State of US Health, 1990-2010 (2013)StudentLife (2014)The State of US Health, 1990-2016 (2018)Digital phenotype of mood disorders: A conceptual and critical review (2022)GLOBEM (2022)Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model (2023)The PHQ-8 as a measure of current depression in the general population (2008)The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality (2021)Ubiquitous Computing in Action: Infrastructure to Support Sensing and Mental Health Research in Practice (2024)A randomized controlled trial of an interactive digital therapeutic for stress and burnout management (2025)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Diagnostic and Statistical Manual of Mental Disorders (2013)Mental Health Management Through Wearables and AI Innovation (2025)Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review (2025)From Tool to Agent: A Semi-Systematic Review of Human–AI Alignment and a Proposed Tiered Healing Ecosystem for Mental Health (2026)Internet-Based and Other Computerized Psychological Treatments for Adult Depression: A Meta-Analysis (2009)Screening for Depression in Adults (2016)Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis (2019)Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness (2025)Digital mental health treatment implementation playbook: successful practices from implementation experiences in American healthcare organizations (2025)Facilitators and Barriers to Digital Mental Health Interventions for Depression, Anxiety, and Stress in Adolescents and Young Adults: Scoping Review (2025)Clinical diagnosis of depression in primary care: a meta-analysis (2009)The Handbook of Research Synthesis and Meta-Analysis (2019)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry? (2024)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 (2022)Key Features of Digital Phenotyping for Monitoring Mental Disorders: Systematic Review (2025)Leveraging low-cost app-based step count data to assess depression and anxiety in university students: A cross-sectional mobile health study (2025)
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References

  • 2001The PHQ-944,795 cited
  • 2019Psychometric Properties of the General Anxiety Disorder 7-Item (GAD-7) Scale in a Heterogeneous Psychiatric Sample671 cited
  • 2019Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach202 cited
  • 2020The digital clinic: Implementing technology and augmenting care for mental health97 cited
  • 2021Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling54 cited

Cited by

  • 2024Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches153 cited
  • 2024Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study46 cited
  • 2024Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering29 cited
  • 2024Integrated Digital Mental Health Care: A Vision for Addressing Population Mental Health Needs28 cited
  • 2025Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants28 cited
  • 2025Smartphone digital phenotyping in mental health disorders: A review of raw sensors utilized, machine learning processing pipelines, and derived behavioral features26 cited
  • 2024The Relation Between Passively Collected GPS Mobility Metrics and Depressive Symptoms: Systematic Review and Meta-Analysis

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22 cited
  • 2023Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study17 cited
  • 2023Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research16 cited
  • 2024Passive sensing data predicts stress in university students: a supervised machine learning method for digital phenotyping12 cited
  • 2022Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study9 cited
  • 2025Harnessing Digital Phenotyping for Early Self-Detection of Psychological Distress8 cited
  • 2023Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study8 cited
  • 2025The Current State/ Trends in Digital Phenotyping for Mental Health Research and Care4 cited
  • 2023Risk scores in digital psychiatry: Expanding the reach of complex smartphone data by condensing it into simple results3 cited
  • 2025Smartphone Apps and Digital Tools for Managing Schizophrenia and Psychotic Disorders: A Clinical Review1 cited