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A Machine Learning Approach for Continuous Mining of Nonidentifiable Smartphone Data to Create a Novel Digital Biomarker Detecting Generalized Anxiety Disorder: Prospective Cohort Study
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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 for Continuou…Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring (2021)Wearable, Environmental, and …Digital phenotyping for mental health of college students: a clinical review (2020)Digital phenotyping for menta…Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors (2020)Digital Biomarkers of Social …Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety (2019)Toward clinical digital pheno…Psychometric Properties of the General Anxiety Disorder 7-Item (GAD-7) Scale in a Heterogeneous Psychiatric Sample (2019)Psychometric Properties of th…Depression Is the Leading Cause of Disability Around the World (2017)Depression Is the Leading Cau…Anxiety disorders (2017)Anxiety disordersPsychometric Properties of the Generalized Anxiety Disorder Scale-7 (GAD-7) in Outpatients with Anxiety and Mood Disorders (2016)Psychometric Properties of th…Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…Epidemiology of anxiety disorders in the 21st century (2015)Epidemiology of anxiety disor…StudentLife (2014)StudentLifePatient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics (2014)Patient Smartphone Ownership …Beyond generalized anxiety disorder: Psychometric properties of the GAD-7 in a heterogeneous psychiatric sample (2014)Beyond generalized anxiety di…The Initial Field Trials of DSM-5: New Blooms and Old Thorns (2013)The Initial Field Trials of D…A Brief Measure for Assessing Generalized Anxiety Disorder (2006)A Brief Measure for Assessing…Prevalence, Severity, and Comorbidity of 12-Month DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Prevalence, Severity, and Com…Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study (2025)Leveraging Swipe Gesture Inte…Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea (2025)Development of prediction mod…Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)Machine Learning for Multimod…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)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Diagnostic and Statistical Manual of Mental Disorders (2013)Treatment of anxiety disorders (2017)Life Expectancy and Mortality Rates in the United States, 1959-2017 (2019)Handbook of Religion and Health (2023)Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States (1994)The PHQ-9 (2001)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)An inventory for measuring clinical anxiety: Psychometric properties. 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(2020)Generalized anxiety and depressive symptoms in various age groups during the COVID-19 lockdown in Poland. Specific predictors and differences in symptoms severity (2020)Validity and reliability of the Generalized Anxiety Disorder-7 (GAD-7) among university students of Bangladesh (2021)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Digital Phenotyping (2017)Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science (2020)Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data (2021)Singapore's health-care system: key features, challenges, and shifts (2021)The Hospital Anxiety and Depression Scale (1983)The structure of anxiety symptoms among preschoolers (2001)How to define and measure risk perceptions (2019)Global, regional and national burden of anxiety disorders from 1990 to 2019: results from the Global Burden of Disease Study 2019 (2021)Detection of Depression-Related Posts in Reddit Social Media Forum (2019)The Economic Burden of Adults with Major Depressive Disorder in the United States (2010 and 2018) (2021)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)
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References

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  • 2014Patient Smartphone Ownership and Interest in Mobile Apps to Monitor Symptoms of Mental Health Conditions: A Survey in Four Geographically Distinct Psychiatric Clinics228 cited
  • 2021Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring

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187 cited
  • 2020Digital Biomarkers of Social Anxiety Severity: Digital Phenotyping Using Passive Smartphone Sensors162 cited
  • 2020Digital phenotyping for mental health of college students: a clinical review121 cited
  • Cited by

    • 2024Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches153 cited
    • 2025Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea9 cited
    • 2025Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study2 cited