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Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia
16 references·0 citing·50 second hop
Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia (2020)Using behavioral rhythms and multi-task l…Mobile Health (mHealth) Versus Clinic-Based Group Intervention for People With Serious Mental Illness: A Randomized Controlled Trial (2018)Mobile Health (mHealth) Versu…Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning (2018)Joint Modeling of Heterogeneo…Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing (2017)Predicting Symptom Trajectori…Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health (2017)Personalized Multitask Learni…CrossCheck (2016)CrossCheckBehavior vs. introspection: refining prediction of clinical depression via smartphone sensing data (2016)Behavior vs. introspection: r…Trajectories of depression (2015)Trajectories of depressionSmartphone Apps for Schizophrenia: A Systematic Review (2015)Smartphone Apps for Schizophr…Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia (2015)Mobile Behavioral Sensing for…StudentLife (2014)StudentLifeFeasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia (2014)Feasibility, Acceptability, a…Comparing Retrospective Reports to Real-Time/Real-Place Mobile Assessments in Individuals With Schizophrenia and a Nonclinical Comparison Group (2012)Comparing Retrospective Repor…Feasibility and Validity of Computerized Ecological Momentary Assessment in Schizophrenia (2007)Feasibility and Validity of C…Sleep, Circadian Rhythms, and Psychomotor Vigilance (2005)Sleep, Circadian Rhythms, and…Sample Entropy (2004)Sample EntropyLifetime 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)Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations (1985)The Cumulative Cost of Additional Wakefulness: Dose-Response Effects on Neurobehavioral Functions and Sleep Physiology From Chronic Sleep Restriction and Total Sleep Deprivation (2003)Fatigue Countermeasures in Aviation (2009)Neurocognitive Consequences of Sleep Deprivation (2009)Effects of Sleep Deprivation on Dissociated Components of Executive Functioning (2010)How Acute Total Sleep Loss Affects the Attending Brain: A Meta-Analysis of Neuroimaging Studies (2015)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)Measuring objective and subjective well-being: dimensions and data sources (2020)An inventory for measuring clinical anxiety: Psychometric properties. 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References

  • 2014StudentLife1,117 cited
  • 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited
  • 2014Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia491 cited
  • 2015Trajectories of depression475 cited
  • 2004Sample Entropy415 cited
  • 2005Sleep, Circadian Rhythms, and Psychomotor Vigilance316 cited
  • 2015Smartphone Apps for Schizophrenia: A Systematic Review268 cited
  • 2016CrossCheck257 cited
  • 2017Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health251 cited
  • 2007Feasibility and Validity of Computerized Ecological Momentary Assessment in Schizophrenia191 cited
  • 2018Mobile Health (mHealth) Versus Clinic-Based Group Intervention for People With Serious Mental Illness: A Randomized Controlled Trial173 cited
  • 2015Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia125 cited
  • 2016Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data114 cited
  • 2017Predicting Symptom Trajectories of Schizophrenia using Mobile Sensing106 cited
  • 2012Comparing Retrospective Reports to Real-Time/Real-Place Mobile Assessments in Individuals With Schizophrenia and a Nonclinical Comparison Group

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105 cited
  • 2018Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning85 cited
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