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The Untapped Opportunity of Mobile Network Data for Mental Health
5 references·0 citing·23 second hop
The Untapped Opportunity of Mobile Network Data for Mental Health (2016)The Untapped Opportunity of Mobile Networ…Trajectories of depression (2015)Trajectories of depressionMobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…Mobile Network Data for Public Health: Opportunities and Challenges (2015)Mobile Network Data for Publi…Quantifying travel behavior for infectious disease research: a comparison of data from surveys and mobile phones (2014)Quantifying travel behavior f…Towards smart phone based monitoring of bipolar disorder (2012)Towards smart phone based mon…Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review (2013)Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors (2017)High-Performance Modelling and Simulation for Big Data Applications (2019)Measuring objective and subjective well-being: dimensions and data sources (2020)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)Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011)Monitoring activity of patients with bipolar disorder using smart phones (2013)The Relationship between Clinical, Momentary, and Sensor-based Assessment of Depression (2015)Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review (2021)The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)The validity of the Hospital Anxiety and Depression Scale (2002)The relationship between mobile phone location sensor data and depressive symptom severity (2016)A universal model for mobility and migration patterns (2012)Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data (2015)Using Google Location History data to quantify fine-scale human mobility (2018)Computational socioeconomics (2019)
this work references cited by second hop

References

  • 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited
  • 2015Trajectories of depression475 cited
  • 2014Quantifying travel behavior for infectious disease research: a comparison of data from surveys and mobile phones142 cited
  • 2015Mobile Network Data for Public Health: Opportunities and Challenges55 cited
  • 2012Towards smart phone based monitoring of bipolar disorder53 cited

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