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Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis
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Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis (2020)Depression Risk Prediction for Chinese Mi…Early Detection of Depression: Social Network Analysis and Random Forest Techniques (2019)Early Detection of Depression…Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram (2018)Exploring the Utility of Comm…Researching Mental Health Disorders in the Era of Social Media: Systematic Review (2017)Researching Mental Health Dis…Detecting and Characterizing Eating-Disorder Communities on Social Media (2017)Detecting and Characterizing …Quantifying the Language of Schizophrenia in Social Media (2015)Quantifying the Language of S…Machine Classification and Analysis of Suicide-Related Communication on Twitter (2015)Machine Classification and An…CLPsych 2015 Shared Task: Depression and PTSD on Twitter (2015)CLPsych 2015 Shared Task: Dep…User-level psychological stress detection from social media using deep neural network (2014)User-level psychological stre…Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…World Health Assembly adopts Comprehensive Mental Health Action Plan 2013–2020 (2013)World Health Assembly adopts …A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network (2013)A Depression Detection Model …Validity of a self-reported diagnosis of depression among participants in a cohort study using the Structured Clinical Interview for DSM-IV (SCID-I) (2008)Validity of a self-reported d…Depression, chronic diseases, and decrements in health: results from the World Health Surveys (2007)Depression, chronic diseases,…Promoting Mental Health: Concepts, Emerging Evidence, Practice (2004)Promoting Mental Health: Conc…The Hamilton Rating Scale for Depression (1986)The Hamilton Rating Scale for…Recognition of Mental Distress and Diagnosis of Mental Disorder in Primary Care (1985)Recognition of Mental Distres…THE BEHAVIOR ANALYSIS OF DEEP LEARNING MODEL IN THE TREATMENT OF DEPRESSION RESEARCH (2025)THE BEHAVIOR ANALYSIS OF DEEP…Depression detection in social media posts using transformer-based models and auxiliary features (2024)Depression detection in socia…XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks (2023)XAI Transformer based Approac…MHA: a multimodal hierarchical attention model for depression detection in social media (2023)MHA: a multimodal hierarchica…A lexicon-based approach to detecting suicide-related messages on Twitter (2020)A lexicon-based approach to d…The prevalence and distribution of major depression in a national community sample: the National Comorbidity Survey (1994)Comparative validity of three screening questionnaires for DSM-IV depressive disorders and physicians? diagnoses (2002)Global burden of depressive disorders in the year 2000 (2004)Mental health impact of the first wave of COVID-19 pandemic on Spanish healthcare workers: A large cross-sectional survey (2020)Mental health status of individuals with a mood-disorder during the COVID-19 pandemic in Australia: Initial results from the COLLATE project (2020)National, State-Level, and County-Level Prevalence Estimates of Adults Aged ≥18 Years Self-Reporting a Lifetime Diagnosis of Depression — United States, 2020 (2023)Resources for mental health: scarcity, inequity, and inefficiency (2007)Scale up services for mental disorders: a call for action (2007)Grand challenges in global mental health (2011)A blind spot on the global mental health map: a scoping review of 25 years' development of mental health care for people with severe mental illnesses in central and eastern Europe (2017)Use of Meditation and Cognitive Behavioral Therapies for the Treatment of Stress, Depression and Anxiety in Students. A Systematic Review and Meta-Analysis (2019)Suicide and Suicide Prevention From a Global Perspective (2020)THE ASSESSMENT OF ANXIETY STATES BY RATING (1959)A RATING SCALE FOR DEPRESSION (1960)A New Depression Scale Designed to be Sensitive to Change (1979)Paying the price: the cost of mental health care in England to 2026 (2008)Positive psychotherapy: A strength-based approach (2014)Deep learning for depression recognition with audiovisual cues: A review (2021)A 12-Item Short-Form Health Survey (1996)EQ-SD: a measure of health status from the EuroQol Group (2001)The World Mental Health (WMH) Survey Initiative version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI) (2004)Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010 (2013)The Epidemiology of Depression Across Cultures (2013)The global prevalence of common mental disorders: a systematic review and meta-analysis 1980–2013 (2014)From social integration to health: Durkheim in the new millennium (2000)The world health report 2001 - Mental health: new understanding, new hope (2001)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016)Detecting depression and mental illness on social media: an integrative review (2017)Facebook language predicts depression in medical records (2018)Language use of depressed and depression-vulnerable college students (2004)Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences (2018)Predicting Depression via Social Media (2021)Mental-LLM (2024)Feeling bad on Facebook: depression disclosures by college students on a social networking site (2011)Cyberpsychology behavior and social networking (2013)Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media (2017)Application of Machine Learning Methods in Mental Health Detection: A Systematic Review (2020)Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features (2020)The CES-D Scale (1977)The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009)Users of the world, unite! The challenges and opportunities of Social Media (2009)Extracting psychiatric stressors for suicide from social media using deep learning (2018)Using Social Media for Mental Health Surveillance (2020)The Application of Electronic Computers to Factor Analysis (1960)Projections of Global Mortality and Burden of Disease from 2002 to 2030 (2006)Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study (2020)Individuals with depression express more distorted thinking on social media (2021)Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Promoting child and adolescent mental health in low and middle income countries (2008)Crime, fear of crime, environment, and mental health and wellbeing: Mapping review of theories and causal pathways (2012)The relationships between school climate and adolescent mental health and wellbeing: A systematic literature review (2018)
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References

  • 2007Depression, chronic diseases, and decrements in health: results from the World Health Surveys4,069 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • 2004Promoting Mental Health: Concepts, Emerging Evidence, Practice702 cited
  • 1986The Hamilton Rating Scale for Depression466 cited
  • 2015CLPsych 2015 Shared Task: Depression and PTSD on Twitter329 cited
  • 2008Validity of a self-reported diagnosis of depression among participants in a cohort study using the Structured Clinical Interview for DSM-IV (SCID-I)273 cited
  • 2017Researching Mental Health Disorders in the Era of Social Media: Systematic Review268 cited
  • 2013A Depression Detection Model Based on Sentiment Analysis in Micro-blog Social Network227 cited
  • 2013World Health Assembly adopts Comprehensive Mental Health Action Plan 2013–2020218 cited
  • 2019Early Detection of Depression: Social Network Analysis and Random Forest Techniques206 cited
  • 2014User-level psychological stress detection from social media using deep neural network183 cited
  • 1985Recognition of Mental Distress and Diagnosis of Mental Disorder in Primary Care178 cited
  • 2015Quantifying the Language of Schizophrenia in Social Media171 cited
  • 2015Machine Classification and Analysis of Suicide-Related Communication on Twitter136 cited

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  • 2017Detecting and Characterizing Eating-Disorder Communities on Social Media114 cited
  • 2018Exploring the Utility of Community-Generated Social Media Content for Detecting Depression: An Analytical Study on Instagram95 cited
  • Cited by

    • 2024Depression detection in social media posts using transformer-based models and auxiliary features71 cited
    • 2020A lexicon-based approach to detecting suicide-related messages on Twitter69 cited
    • 2023MHA: a multimodal hierarchical attention model for depression detection in social media64 cited
    • 2023XAI Transformer based Approach for Interpreting Depressed and Suicidal User Behavior on Online Social Networks62 cited
    • 2025THE BEHAVIOR ANALYSIS OF DEEP LEARNING MODEL IN THE TREATMENT OF DEPRESSION RESEARCH2 cited