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Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review
16 references·16 citing·51 second hopsampled
Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review (2021)Sensing Apps and Public Data Sets for Dig…The outbreak of COVID-19 coronavirus and its impact on global mental health (2020)The outbreak of COVID-19 coro…The COVID-19 pandemic: The ‘black swan’ for mental health care and a turning point for e-health (2020)The COVID-19 pandemic: The ‘b…Smartphones in mental health: a critical review of background issues, current status and future concerns (2020)Smartphones in mental health:…Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow (2020)Digital Mental Health and COV…Coached Mobile App Platform for the Treatment of Depression and Anxiety Among Primary Care Patients (2020)Coached Mobile App Platform f…Digital Phenotyping (2017)Digital PhenotypingNew Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research (2016)New Tools for New Research in…Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild (2016)Mobile Sensing and Support fo…CrossCheck (2016)CrossCheckConducting a fully mobile and randomised clinical trial for depression: access, engagement and expense (2016)Conducting a fully mobile and…Big data analytics: a survey (2015)Big data analytics: a surveyStudentLife (2014)StudentLifeWhy has it taken so long for biological psychiatry to develop clinical tests and what to do about it? (2012)Why has it taken so long for …Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011)Harnessing Context Sensing to…Ecological Momentary Assessment (2007)Ecological Momentary Assessme…Understanding interobserver agreement: the kappa statistic. (2005)Understanding interobserver a…Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review (2026)Smartphone-Based Digital Phen…Regulatory challenges of digital health: the case of mental health applications and personal data in South Africa (2025)Regulatory challenges of digi…Integrating digital health technologies for ecological validity in computational psychiatry: challenges and solutions (2025)Integrating digital health te…Harnessing Digital Phenotyping for Early Self-Detection of Psychological Distress (2025)Harnessing Digital Phenotypin…Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review (2025)Beyond the current state of j…Using Active and Passive Smartphone Data to Enhance Adolescents’ Emotional Awareness in Forensic Outpatient Setting: A Qualitative Feasibility and Usability Study (2024)Using Active and Passive Smar…The Impact of Digitalization on Psychological Treatment: Exploring Emerging Technologies in Mental Health Care (2024)The Impact of Digitalization …Digitization and its Discontents: The Promise and Limitations of Digital Mental Health Interventions (2024)Digitization and its Disconte…Digitale Technologien zur Verbesserung der psychischen Gesundheit (2024)Digitale Technologien zur Ver…What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies (2023)What digital health technolog…Evaluating Conversational Agents for Mental Health: Scoping Review of Outcomes and Outcome Measurement Instruments (2023)Evaluating Conversational Age…Clinician perspectives on how digital phenotyping can inform client treatment (2023)Clinician perspectives on how…A Digital Peer Support Platform to Translate Online Peer Support for Emerging Adult Mental Well-being: Randomized Controlled Trial (2023)A Digital Peer Support Platfo…Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review (2022)Digital Phenotyping of Mental…Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review (2022)Digital Phenotyping in Health…A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study (2022)A Machine Learning Approach f…A Coefficient of Agreement for Nominal Scales (1960)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. 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References

  • 2005Understanding interobserver agreement: the kappa statistic.7,009 cited
  • 2007Ecological Momentary Assessment6,416 cited
  • 2020The outbreak of COVID-19 coronavirus and its impact on global mental health3,005 cited
  • 2014StudentLife1,117 cited
  • 2012Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it?980 cited
  • 2020Digital Mental Health and COVID-19: Using Technology Today to Accelerate the Curve on Access and Quality Tomorrow944 cited
  • 2017Digital Phenotyping832 cited
  • 2015Big data analytics: a survey818 cited
  • 2020The COVID-19 pandemic: The ‘black swan’ for mental health care and a turning point for e-health780 cited
  • 2016New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research757 cited
  • 2011Harnessing Context Sensing to Develop a Mobile Intervention for Depression646 cited
  • 2016Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild333 cited
  • 2016CrossCheck257 cited
  • 2016Conducting a fully mobile and randomised clinical trial for depression: access, engagement and expense172 cited
  • 2020Smartphones in mental health: a critical review of background issues, current status and future concerns

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163 cited
  • 2020Coached Mobile App Platform for the Treatment of Depression and Anxiety Among Primary Care Patients162 cited
  • Cited by

    • 2022Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review85 cited
    • 2023Evaluating Conversational Agents for Mental Health: Scoping Review of Outcomes and Outcome Measurement Instruments63 cited
    • 2025Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review58 cited
    • 2022Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review50 cited
    • 2023A Digital Peer Support Platform to Translate Online Peer Support for Emerging Adult Mental Well-being: Randomized Controlled Trial30 cited
    • 2022A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study23 cited
    • 2024Digitization and its Discontents: The Promise and Limitations of Digital Mental Health Interventions19 cited
    • 2023Clinician perspectives on how digital phenotyping can inform client treatment18 cited
    • 2025Regulatory challenges of digital health: the case of mental health applications and personal data in South Africa16 cited
    • 2023What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies14 cited
    • 2024Digitale Technologien zur Verbesserung der psychischen Gesundheit9 cited
    • 2025Harnessing Digital Phenotyping for Early Self-Detection of Psychological Distress8 cited
    • 2026Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review6 cited
    • 2024Using Active and Passive Smartphone Data to Enhance Adolescents’ Emotional Awareness in Forensic Outpatient Setting: A Qualitative Feasibility and Usability Study6 cited
    • 2025Integrating digital health technologies for ecological validity in computational psychiatry: challenges and solutions2 cited
    • 2024The Impact of Digitalization on Psychological Treatment: Exploring Emerging Technologies in Mental Health Care2 cited