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A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data
16 references·1 citing·44 second hop
A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data (2023)A Hybrid Deep Learning Model to Predict t…Predicting Depression via Social Media (2021)Predicting Depression via Soc…Deep Learning in Mining Biological Data (2021)Deep Learning in Mining Biolo…Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia (2020)Application of deep learning …Detection of Depression-Related Posts in Reddit Social Media Forum (2019)Detection of Depression-Relat…A Multi-recurrent Network for Crude Oil Price Prediction (2019)A Multi-recurrent Network for…Deep Learning for Depression Detection of Twitter Users (2018)Deep Learning for Depression …Applications of Deep Learning and Reinforcement Learning to Biological Data (2018)Applications of Deep Learning…Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media (2017)Semi-Supervised Approach to M…Detecting depression and mental illness on social media: an integrative review (2017)Detecting depression and ment…Depression detection using emotion artificial intelligence (2017)Depression detection using em…Advances in Crowd Analysis for Urban Applications Through Urban Event Detection (2017)Advances in Crowd Analysis fo…Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Use of mental health services for anxiety, mood, and substance disorders in 17 countries in the WHO world mental health surveys (2007)Use of mental health services…Language use of depressed and depression-vulnerable college students (2004)Language use of depressed and…The Epidemiology of Major Depressive Disorder (2003)The Epidemiology of Major Dep…Affective Forecasting (2003)Affective ForecastingAn attention-based hybrid architecture with explainability for depressive social media text detection in Bangla (2022)An attention-based hybrid arc…A RATING SCALE FOR DEPRESSION (1960)Reliability and validity studies of the WHO-Composite International Diagnostic Interview (CIDI): A critical review (1994)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)Mental health of young people: a global public-health challenge (2007)The PHQ-8 as a measure of current depression in the general population (2008)Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010 (2013)The Global Assessment Scale (1976)Prevalence, Severity, and Unmet Need for Treatment of Mental Disorders in the World Health Organization World Mental Health Surveys (2004)Twelve-Month Use of Mental Health Services in the United States (2005)The global burden of mental disorders: An update from the WHO World Mental Health (WMH) Surveys (2009)Barriers to mental health treatment: results from the WHO World Mental Health surveys (2013)Mental disorders among college students in the World Health Organization World Mental Health Surveys (2016)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)Facebook language predicts depression in medical records (2018)The CES-D Scale (1977)Coping, stress, and social resources among adults with unipolar depression. 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References

  • 2003The Epidemiology of Major Depressive Disorder7,981 cited
  • 2007Use of mental health services for anxiety, mood, and substance disorders in 17 countries in the WHO world mental health surveys1,655 cited
  • 2021Predicting Depression via Social Media1,582 cited
  • 2004Language use of depressed and depression-vulnerable college students1,018 cited
  • 2003Affective Forecasting877 cited
  • 2018Applications of Deep Learning and Reinforcement Learning to Biological Data846 cited
  • 2014Quantifying Mental Health Signals in Twitter722 cited
  • 2017Detecting depression and mental illness on social media: an integrative review722 cited
  • 2019Detection of Depression-Related Posts in Reddit Social Media Forum466 cited
  • 2021Deep Learning in Mining Biological Data450 cited
  • 2020Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia348 cited
  • 2018Deep Learning for Depression Detection of Twitter Users345 cited
  • 2017Depression detection using emotion artificial intelligence270 cited
  • 2017Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media169 cited
  • 2017

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Advances in Crowd Analysis for Urban Applications Through Urban Event Detection
98 cited
  • 2019A Multi-recurrent Network for Crude Oil Price Prediction67 cited
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    • 2022An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla73 cited