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Extracting psychiatric stressors for suicide from social media using deep learning
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Extracting psychiatric stressors for suicide from social media using deep learning (2018)Extracting psychiatric stressors for suic…Researching Mental Health Disorders in the Era of Social Media: Systematic Review (2017)Researching Mental Health Dis…Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression (2017)Defining and Predicting Patte…Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study (2017)Assessing Suicide Risk and Em…Suicide and Suicidal Attempts in the United States: Costs and Policy Implications (2015)Suicide and Suicidal Attempts…Detecting suicidality on Twitter (2015)Detecting suicidality on Twit…Tracking Suicide Risk Factors Through Twitter in the US (2013)Tracking Suicide Risk Factors…A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication (2013)A New Dimension of Health Car…Social Media and Suicide: A Public Health Perspective (2012)Social Media and Suicide: A P…Suicide Prevention Strategies (2005)Suicide Prevention StrategiesSuicide (2001)SuicideDepression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey (2023)Depression Detection From Soc…Artificial Intelligence in Mental Health Care (2023)Artificial Intelligence in Me…Deep learning techniques for suicide and depression detection from online social media: A scoping review (2022)Deep learning techniques for …Boamente: A Natural Language Processing-Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation (2022)Boamente: A Natural Language …PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media (2021)PHASE: Learning Emotional Pha…Machine Learning for Mental Health in Social Media: Bibliometric Study (2021)Machine Learning for Mental H…Information and Communication Technology Use in Suicide Prevention: Scoping Review (2021)Information and Communication…Improving Psychiatric Care Through Integrated Digital Technologies (2021)Improving Psychiatric Care Th…Automatic detection of depression symptoms in twitter using multimodal analysis (2021)Automatic detection of depres…Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review (2020)Suicide Risk Assessment Using…Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media (2020)Building and Using Personal K…A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media (2020)A Time-Aware Transformer Base…A lexicon-based approach to detecting suicide-related messages on Twitter (2020)A lexicon-based approach to d…The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors (2019)The utility of artificial int…Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough? 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References

  • 2005Suicide Prevention Strategies2,850 cited
  • 2013A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication2,515 cited
  • 2012Social Media and Suicide: A Public Health Perspective469 cited
  • 2015Detecting suicidality on Twitter439 cited
  • 2015Suicide and Suicidal Attempts in the United States: Costs and Policy Implications412 cited
  • 2013Tracking Suicide Risk Factors Through Twitter in the US342 cited
  • 2017Researching Mental Health Disorders in the Era of Social Media: Systematic Review268 cited
  • 2001Suicide237 cited
  • 2017Assessing Suicide Risk and Emotional Distress in Chinese Social Media: A Text Mining and Machine Learning Study235 cited
  • 2017Defining and Predicting Patterns of Early Response in a Web-Based Intervention for Depression57 cited

Cited by

  • 2023Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey142 cited
  • 2021Machine Learning for Mental Health in Social Media: Bibliometric Study134 cited
  • 2019The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors125 cited
  • 2021Automatic detection of depression symptoms in twitter using multimodal analysis

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122 cited
  • 2019Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?115 cited
  • 2020A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media114 cited
  • 2020Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review111 cited
  • 2020Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media104 cited
  • 2019Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention95 cited
  • 2022Deep learning techniques for suicide and depression detection from online social media: A scoping review94 cited
  • 2021Information and Communication Technology Use in Suicide Prevention: Scoping Review72 cited
  • 2020A lexicon-based approach to detecting suicide-related messages on Twitter69 cited
  • 2021PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media57 cited
  • 2022Boamente: A Natural Language Processing-Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation50 cited
  • 2023Artificial Intelligence in Mental Health Care7 cited
  • 2021Improving Psychiatric Care Through Integrated Digital Technologies4 cited