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Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review
16 references·12 citing·42 second hop
Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review (2019)Digital biomarkers from geolocation data …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…Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health (2016)Harnessing Smartphone-Based D…Detecting Bipolar Depression From Geographic Location Data (2016)Detecting Bipolar Depression …CrossCheck (2016)CrossCheckTrajectories of depression (2015)Trajectories of depressionTechnological innovations in mental healthcare: harnessing the digital revolution (2015)Technological innovations in …Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality (2015)Mobile Apps for Bipolar Disor…Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions (2014)Smartphone Ownership and Inte…The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)The PRISMA Statement for Repo…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…The 16-Item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression (2003)The 16-Item quick inventory o…Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of…Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of…A RATING SCALE FOR DEPRESSION (1960)A RATING SCALE FOR DEPRESSIONSmartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review (2026)Smartphone-Based Digital Phen…Digital Markers of Mental Health Problems: Phenotyping Across Biological, Psychological, and Environmental Dimensions (2023)Digital Markers of Mental Hea…A Systematic Review of Location Data for Depression Prediction (2023)A Systematic Review of Locati…Technology and Mental Health: State of the Art for Assessment and Treatment (2022)Technology and Mental Health:…Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity (2022)Mobile footprinting: linking …Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of Depression (2022)Me in the Wild: An Explorator…Ecological Momentary Interventions in Public Mental Health Provision (2022)Ecological Momentary Interven…Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem (2022)Digital Biomarkers in Psychia…“Now, I have my baby so I don’t go anywhere”: A mixed method approach to the ‘everyday’ and young motherhood integrating qualitative interviews and passive digital data from mobile devices (2022)“Now, I have my baby so I don…The Characteristics of Canadian University Students’ Mental Health, Engagement in Activities and Use of Smartphones: A descriptive pilot study (2021)The Characteristics of Canadi…A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions (2021)A Scoping Review of Sensors, …Digital phenotyping for assessment and prediction of mental health outcomes: a scoping review protocol (2019)Digital phenotyping for asses…Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States (1994)The PHQ-9 (2001)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)The WPA- Lancet Psychiatry Commission on the Future of Psychiatry (2017)Facebook language predicts depression in medical records (2018)Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study (2018)Coefficient Alpha and the Internal Structure of Tests (1951)The Measurement of Observer Agreement for Categorical Data (1977)The Epidemiology of Major Depressive Disorder (2003)Recommendations for a Standard Research Assessment of Insomnia (2006)Prevalence and Distribution of Major Depressive Disorder in African Americans, Caribbean Blacks, and Non-Hispanic Whites (2007)Diagnostic and Statistical Manual of Mental Disorders (2013)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Reality mining: sensing complex social systems (2005)Learning and inferring transportation routines (2007)Understanding mobility based on GPS data (2008)An Inventory for Measuring Depression (1961)Manual for the State-Trait Anxiety Inventory (1970)Stress, social support, and the buffering hypothesis. 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(2003)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10 (1998)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices (2017)Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety (2019)Validity and Reliability of the Experience-Sampling Method (1987)Ecological Momentary Assessment (2007)Natural Language Processing of Social Media as Screening for Suicide Risk (2018)AI in mental health (2020)Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020)The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry (2014)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Diez pasos para la construcción de un test (2019)Measuring inconsistency in meta-analyses (2003)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)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The CES-D Scale (1977)Development and validation of a geriatric depression screening scale: A preliminary report (1982)Взаимосвязь статуса занятости и пола с уровнем психологического благополучия (2026)
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References

  • 1960A RATING SCALE FOR DEPRESSION32,812 cited
  • 1988Development and validation of brief measures of positive and negative affect: The PANAS scales.32,408 cited
  • 1988Development and validation of brief measures of positive and negative affect: The PANAS scales.31,356 cited
  • 2009The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration28,094 cited
  • 2003The 16-Item quick inventory of depressive symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression3,828 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2017Digital Phenotyping832 cited
  • 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited
  • 2016New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research757 cited
  • 2016Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health720 cited
  • 2015Trajectories of depression475 cited
  • 2015Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality438 cited
  • 2015Technological innovations in mental healthcare: harnessing the digital revolution375 cited

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  • 2014Smartphone Ownership and Interest in Mobile Applications to Monitor Symptoms of Mental Health Conditions287 cited
  • 2016CrossCheck257 cited
  • 2016Detecting Bipolar Depression From Geographic Location Data180 cited
  • Cited by

    • 2021A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions67 cited
    • 2022Technology and Mental Health: State of the Art for Assessment and Treatment45 cited
    • 2019Digital phenotyping for assessment and prediction of mental health outcomes: a scoping review protocol45 cited
    • 2022Ecological Momentary Interventions in Public Mental Health Provision32 cited
    • 2023A Systematic Review of Location Data for Depression Prediction29 cited
    • 2022Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity13 cited
    • 2023Digital Markers of Mental Health Problems: Phenotyping Across Biological, Psychological, and Environmental Dimensions9 cited
    • 2022Digital Biomarkers in Psychiatric Research: Data Protection Qualifications in a Complex Ecosystem9 cited
    • 2026Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review6 cited
    • 2021The Characteristics of Canadian University Students’ Mental Health, Engagement in Activities and Use of Smartphones: A descriptive pilot study6 cited
    • 2022“Now, I have my baby so I don’t go anywhere”: A mixed method approach to the ‘everyday’ and young motherhood integrating qualitative interviews and passive digital data from mobile devices5 cited
    • 2022Me in the Wild: An Exploratory Study Using Smartphones to Detect the Onset of Depression4 cited