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Machine learning and child and adolescent mental health services: challenges and opportunities
16 references·0 citing·48 second hop
Machine learning and child and adolescent mental health services: challenges and opportunities (2022)Machine learning and child and adolescent…Reporting quality of studies using machine learning models for medical diagnosis: a systematic review (2020)Reporting quality of studies …Predicting mental health problems in adolescence using machine learning techniques (2020)Predicting mental health prob…Machine Learning in Mental Health (2020)Machine Learning in Mental He…Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2019)Weapons of Math Destruction: …The Artificial Intelligence Black Box and the Failure of Intent and Causation (2018)The Artificial Intelligence B…Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning (2018)Predicting suicide attempts i…Feedback-informed treatment versus usual psychological treatment for depression and anxiety: a multisite, open-label, cluster randomised controlled trial (2018)Feedback-informed treatment v…Data quality: “Garbage in – garbage out” (2018)Data quality: “Garbage in – g…European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)European Union Regulations on…Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial (2017)Delivering Cognitive Behavior…The effectiveness of SPARX, a computerised self help intervention for adolescents seeking help for depression: randomised controlled non-inferiority trial (2012)The effectiveness of SPARX, a…Promoting child and adolescent mental health in low and middle income countries (2008)Promoting child and adolescen…Classification Trees Distinguish Suicide Attempters in Major Psychiatric Disorders (2008)Classification Trees Distingu…The 10/90 divide in mental health research: Trends over a 10-year period (2005)The 10/90 divide in mental he…Qualitative Research: Consensus methods for medical and health services research (1995)Qualitative Research: Consens…Computer Power and Human Reason: From Judgment to Calculation (1976)Computer Power and Human Reas…ECDEU Assessment Manual for Psychopharmacology (1976)The PHQ-9 (2001)Computer Therapy for the Anxiety and Depressive Disorders Is Effective, Acceptable and Practical Health Care: A Meta-Analysis (2010)The benefits of playing video games. 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(1988)Using thematic analysis in psychology (2006)An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study (2018)Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape (2019)Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy (2019)Suicide and Suicidal Behavior (2008)Self-Injury (2010)Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research. 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References

  • 1995Qualitative Research: Consensus methods for medical and health services research3,469 cited
  • 2017Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial2,713 cited
  • 2017European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”2,129 cited
  • 1976Computer Power and Human Reason: From Judgment to Calculation877 cited
  • 2012The effectiveness of SPARX, a computerised self help intervention for adolescents seeking help for depression: randomised controlled non-inferiority trial716 cited
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  • 2020Machine Learning in Mental Health406 cited
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  • 2018Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning263 cited
  • 2005The 10/90 divide in mental health research: Trends over a 10-year period259 cited
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  • 2018Data quality: “Garbage in – garbage out”200 cited
  • 2020Predicting mental health problems in adolescence using machine learning techniques189 cited
  • 2018

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Feedback-informed treatment versus usual psychological treatment for depression and anxiety: a multisite, open-label, cluster randomised controlled trial
152 cited
  • 2008Classification Trees Distinguish Suicide Attempters in Major Psychiatric Disorders149 cited
  • 2020Reporting quality of studies using machine learning models for medical diagnosis: a systematic review102 cited
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