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Similarity matrix-based anomaly detection for clinical intervention
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Similarity matrix-based anomaly detection for clinical intervention (2022)Similarity matrix-based anomaly detection…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 growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality (2021)The growing field of digital …Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety (2017)Mobile Phone Detection of Sem…New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research (2016)New Tools for New Research in…CrossCheck (2016)CrossCheckMobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…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)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)Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health (2016)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)Diagnostic and Statistical Manual of Mental Disorders(DSM) (2008)Diagnostic and Statistical Manual of Mental Disorders (2013)Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 (2015)Ecological Momentary Assessment and Intervention in the Treatment of Psychotic Disorders: A Systematic Review (2017)Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study (2020)Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring (2021)Religiousness and depression: Evidence for a main effect and the moderating influence of stressful life events. (2003)The accuracy of passive phone sensors in predicting daily mood (2018)Passive Sensing of Prediction of Moment-To-Moment Depressed Mood among Undergraduates with Clinical Levels of Depression Sample Using Smartphones (2020)Digital biomarkers of anxiety disorder symptom changes: Personalized deep learning models using smartphone sensors accurately predict anxiety symptoms from ecological momentary assessments (2021)The State of US Health, 1990-2010 (2013)StudentLife (2014)The State of US Health, 1990-2016 (2018)Digital phenotyping correlations in larger mental health samples: analysis and replication (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)Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being (2023)Towards a youth mental health paradigm: a perspective and roadmap (2023)The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality (2025)
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References

  • 2021The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality1,192 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
  • 2016CrossCheck257 cited
  • 2017Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety119 cited
  • 2021Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling54 cited

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