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Challenges and standardisation strategies for sensor-based data collection for digital phenotyping
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(2021)Current evidence on the efficacy of mental health smartphone apps for symptoms of depression and anxiety. A meta‐analysis of 176 randomized controlled trials (2024)Single Case Experimental Designs: Strategies for Studying Behavior Change (1976)Believe it or not: how much can we rely on published data on potential drug targets? (2011)Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. (2016)Digital phenotyping adherence, feasibility, and tolerability in outpatients with schizophrenia (2021)Measuring maladaptive avoidance: from animal models to clinical anxiety (2022)The promise of a model-based psychiatry: building computational models of mental ill health (2022)Distributional Structure (1954)Research Domain Criteria (RDoC): Toward a New Classification Framework for Research on Mental Disorders (2010)Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation (2015)Artificial intelligence and suicide prevention: A systematic review (2022)Large Language Models for Mental Health Applications: Systematic Review (2024)Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)A circumplex model of affect. (1980)The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories (1995)Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. (1998)Acceptance towards digital health interventions – Model validation and further development of the Unified Theory of Acceptance and Use of Technology (2021)Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study (2021)How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health (2023)Understanding the impact of stigma on people with mental illness. (2002)What is the impact of mental health-related stigma on help-seeking? A systematic review of quantitative and qualitative studies (2014)Estimating the true global burden of mental illness (2016)Addressing mental health stigma in low-income and middle-income countries: A new frontier for digital mental health (2021)Strategies to Reduce Mental Illness Stigma: Perspectives of People with Lived Experience and Caregivers (2022)The burden of mental disorders in Asian countries, 1990–2019: an analysis for the global burden of disease study 2019 (2024)The integrative review: updated methodology (2005)Cochrane Handbook for Systematic Reviews of Interventions (2008)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Exploring the Effectiveness of Technology-Assisted Interventions for Promoting Independence in Elderly Patients: A Systematic Review (2024)Understanding older adults’ acceptance of Chatbots in healthcare delivery: an extended UTAUT model (2024)Barriers to and Facilitators of Digital Health Technology Adoption Among Older Adults With Chronic Diseases: Updated Systematic Review (2025)
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References

  • 2016Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health720 cited
  • 2020Machine Learning and Natural Language Processing in Mental Health: Systematic Review575 cited
  • 2019Dropout rates in clinical trials of smartphone apps for depressive symptoms: A systematic review and meta-analysis546 cited
  • 2019Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety433 cited
  • 2024Barriers and facilitators to health technology adoption by older adults with chronic diseases: an integrative systematic review407 cited
  • 2017New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices348 cited
  • 2015Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature327 cited
  • 2020Opportunities and challenges in the collection and analysis of digital phenotyping data322 cited
  • 2021Reducing the stigma of mental health disorders with a focus on low- and middle-income countries316 cited
  • 2021Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data260 cited
  • 2018Large-scale wearable data reveal digital phenotypes for daily-life stress detection250 cited
  • 2019Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach202 cited
  • 2023Digital Phenotyping for Monitoring Mental Disorders: Systematic Review

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177 cited
  • 2020The emergence of digital mental health in low-income and middle-income countries: A review of recent advances and implications for the treatment and prevention of mental disorders140 cited
  • 2023Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health135 cited
  • 2017Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders125 cited
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