SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review
13 references·16 citing·44 second hop
Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review (2018)Mobile Phone and Wearable Sensor-Based mH…Youth Codesign of a Mobile Phone App to Facilitate Self-Monitoring and Management of Mood Symptoms in Young People With Major Depression, Suicidal Ideation, and Self-Harm (2018)Youth Codesign of a Mobile Ph…Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review (2017)Smartphone-Based Monitoring o…Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning (2017)Personal Sensing: Understandi…Ecological Momentary Assessment and Intervention in the Treatment of Psychotic Disorders: A Systematic Review (2017)Ecological Momentary Assessme…Digital health technology for use in patients with serious mental illness: a systematic review of the literature (2017)Digital health technology for…Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild (2016)Mobile Sensing and Support fo…Detecting Bipolar Depression From Geographic Location Data (2016)Detecting Bipolar Depression …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…StudentLife (2014)StudentLifeSmartphones for Smarter Delivery of Mental Health Programs: A Systematic Review (2013)Smartphones for Smarter Deliv…Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011)Harnessing Context Sensing to…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…Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering (2024)Digital biomarkers in depress…Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment (2023)Beyond rating scales: With ta…Smartphone‐based interventions in bipolar disorder: Systematic review and meta‐analyses of efficacy. A position paper from the International Society for Bipolar Disorders ( ISBD ) Big Data Task Force (2022)Smartphone‐based intervention…Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review (2022)Digital Phenotyping of Mental…A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model (2022)A Novel Text Mining Approach …A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms (2022)A novel multi-modal depressio…Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review (2021)Sensing Apps and Public Data …Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study (2021)Predicting Depression From Sm…Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study (2021)Evaluation of Changes in Depr…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, …A Compassion-Focused Ecological Momentary Intervention for Enhancing Resilience in Help-Seeking Youth: Uncontrolled Pilot Study (2021)A Compassion-Focused Ecologic…Sensors Capabilities, Performance, and Use of Consumer Sleep Technology (2020)Sensors Capabilities, Perform…Perceptions and Attitudes Toward a Mobile Phone App for Mental Health for College Students: Qualitative Focus Group Study (2020)Perceptions and Attitudes Tow…Can digital data diagnose mental health problems? A sociological exploration of ‘digital phenotyping’ (2020)Can digital data diagnose men…A Decade of Ubiquitous Computing Research in Mental Health (2020)A Decade of Ubiquitous Comput…An ecological momentary intervention incorporating personalised feedback to improve symptoms and social functioning in schizophrenia spectrum disorders (2019)An ecological momentary inter…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)How to Write a Systematic Review (2007)Adherence in Internet Interventions for Anxiety and Depression (2009)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments (2016)The Lancet Psychiatry Commission on psychological treatments research in tomorrow's science (2018)Emotional distress in young adults during the COVID-19 pandemic: evidence of risk and resilience from a longitudinal cohort study (2020)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)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)Trust in Automation (2014)Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial (2018)A Global Measure of Perceived Stress (1983)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Mental Health and Behavior of College Students During the Early Phases of the COVID-19 Pandemic: Longitudinal Smartphone and Ecological Momentary Assessment Study (2020)Habits make smartphone use more pervasive (2011)Internet-based psychological treatments for depression (2012)There is an app for that! The current state of mobile applications (apps) for DSM-5 obsessive-compulsive disorder, posttraumatic stress disorder, anxiety and mood disorders (2017)Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing (2018)A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health (2022)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)Correlations Between Objective Behavioral Features Collected From Mobile and Wearable Devices and Depressive Mood Symptoms in Patients With Affective Disorders: Systematic Review (2018)Classical psychedelics for the treatment of depression and anxiety: A systematic review (2019)Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study (2019)The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. (1998)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Ambulatory assessment in psychopathology research: A review of recommended reporting guidelines and current practices. (2019)AI in mental health (2020)Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health (2020)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)Detecting depression and mental illness on social media: an integrative review (2017)Internet‐delivered psychological treatments: from innovation to implementation (2019)Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions (2020)
this work references cited by second hop

References

  • 2009The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration28,094 cited
  • 2013Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review1,135 cited
  • 2014StudentLife1,117 cited
  • 2017Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning800 cited
  • 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited
  • 2011Harnessing Context Sensing to Develop a Mobile Intervention for Depression646 cited
  • 2015Trajectories of depression475 cited
  • 2016Mobile Sensing and Support for People With Depression: A Pilot Trial in the Wild333 cited
  • 2017Ecological Momentary Assessment and Intervention in the Treatment of Psychotic Disorders: A Systematic Review189 cited
  • 2016Detecting Bipolar Depression From Geographic Location Data180 cited
  • 2017Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review177 cited
  • 2017Digital health technology for use in patients with serious mental illness: a systematic review of the literature169 cited
  • 2018Youth Codesign of a Mobile Phone App to Facilitate Self-Monitoring and Management of Mood Symptoms in Young People With Major Depression, Suicidal Ideation, and Self-Harm151 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Cited by

  • 2021Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study143 cited
  • 2022A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model119 cited
  • 2022Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review85 cited
  • 2021Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review84 cited
  • 2020Sensors Capabilities, Performance, and Use of Consumer Sleep Technology83 cited
  • 2021Evaluation of Changes in Depression, Anxiety, and Social Anxiety Using Smartphone Sensor Features: Longitudinal Cohort Study82 cited
  • 2020A Decade of Ubiquitous Computing Research in Mental Health77 cited
  • 2023Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment76 cited
  • 2020Can digital data diagnose mental health problems? A sociological exploration of ‘digital phenotyping’70 cited
  • 2019An ecological momentary intervention incorporating personalised feedback to improve symptoms and social functioning in schizophrenia spectrum disorders68 cited
  • 2021A Scoping Review of Sensors, Wearables, and Remote Monitoring For Behavioral Health: Uses, Outcomes, Clinical Competencies, and Research Directions67 cited
  • 2021A Compassion-Focused Ecological Momentary Intervention for Enhancing Resilience in Help-Seeking Youth: Uncontrolled Pilot Study67 cited
  • 2022A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms61 cited
  • 2022Smartphone‐based interventions in bipolar disorder: Systematic review and meta‐analyses of efficacy. A position paper from the International Society for Bipolar Disorders ( ISBD ) Big Data Task Force46 cited
  • 2020Perceptions and Attitudes Toward a Mobile Phone App for Mental Health for College Students: Qualitative Focus Group Study30 cited
  • 2024Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering29 cited