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Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach
12 references·10 citing·48 second hop
Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach (2021)Predicting therapy outcome in a digital m…Sensitivity to change and minimal clinically important difference of the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7) (2020)Sensitivity to change and min…Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review (2019)Digital Mental Health Interve…Addressing Bias in Artificial Intelligence in Health Care (2019)Addressing Bias in Artificial…Why Cognitive Behavioral Therapy Is the Current Gold Standard of Psychotherapy (2018)Why Cognitive Behavioral Ther…The economic costs of mental disorders (2016)The economic costs of mental …Agnostic Learning with Unknown Utilities (2016)Agnostic Learning with Unknow…Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 2010 (2013)Burden of Depressive Disorder…The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses (2012)The Efficacy of Cognitive Beh…A Brief Measure for Assessing Generalized Anxiety Disorder (2006)A Brief Measure for Assessing…Monitoring Depression Treatment Outcomes With the Patient Health Questionnaire-9 (2004)Monitoring Depression Treatme…The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)The PHQ-9: A New Depression D…The Validity and Reproducibility of a Work Productivity and Activity Impairment Instrument (1993)The Validity and Reproducibil…The Role of Machine Learning in AR/VR-Based Cognitive Therapies: A Systematic Review for Mental Health Disorders (2025)The Role of Machine Learning …Prediction of treatment outcome in patients receiving internet-delivered cognitive behavioural therapy for depressive and anxiety symptoms: a machine learning analysis of data from a healthcare-embedded longitudinal study (2025)Prediction of treatment outco…Machine Learning Model for Response to Internet-Delivered CBT vs Antidepressant Medication (2025)Machine Learning Model for Re…AI-Driven Mental Health Support for Caregivers of Individuals With Alzheimer Disease: Systematic Literature Review and Development of a Conceptual Framework (2025)AI-Driven Mental Health Suppo…Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model (2024)Predicting the Effectiveness …Internet- and mobile-based aftercare and relapse prevention interventions for anxiety and depressive disorders: a systematic review (2024)Internet- and mobile-based af…Predicting individual response to a web-based positive psychology intervention: a machine learning approach (2023)Predicting individual respons…Digital Mental Health Interventions: A Comprehensive Systematic Review (2023)Digital Mental Health Interve…Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies (2022)Can we predict who will benef…Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention (2022)Applying ensemble machine lea…An Inventory for Measuring Depression (1961)A New Depression Scale Designed to be Sensitive to Change (1979)The PHQ-9 (2001)Anxiety Disorders in Primary Care: Prevalence, Impairment, Comorbidity, and Detection (2007)The PHQ-8 as a measure of current depression in the general population (2008)Reason and emotion in psychotherapy (1962)Cochrane Database of Systematic Reviews (2008)Cochrane Database of Systematic Reviews (2011)Advances in Cognitive Theory and Therapy: The Generic Cognitive Model (2014)Cognitive Behavioral Therapy for Chronic Insomnia (2015)The Future of Intervention Science: Process-Based Therapy (2018)An inventory for measuring clinical anxiety: Psychometric properties. 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References

  • 2006A Brief Measure for Assessing Generalized Anxiety Disorder31,695 cited
  • 2002The PHQ-9: A New Depression Diagnostic and Severity Measure5,897 cited
  • 2012The Efficacy of Cognitive Behavioral Therapy: A Review of Meta-analyses3,433 cited
  • 2013Burden of Depressive Disorders by Country, Sex, Age, and Year: Findings from the Global Burden of Disease Study 20103,115 cited
  • 1993The Validity and Reproducibility of a Work Productivity and Activity Impairment Instrument3,067 cited
  • 2004Monitoring Depression Treatment Outcomes With the Patient Health Questionnaire-91,351 cited
  • 2016Agnostic Learning with Unknown Utilities1,314 cited
  • 2019Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review837 cited
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  • 2020Sensitivity to change and minimal clinically important difference of the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7)639 cited
  • 2018Why Cognitive Behavioral Therapy Is the Current Gold Standard of Psychotherapy565 cited

Cited by

  • 2022Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies73 cited

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2025
The Role of Machine Learning in AR/VR-Based Cognitive Therapies: A Systematic Review for Mental Health Disorders
60 cited
  • 2022Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention10 cited
  • 2023Predicting individual response to a web-based positive psychology intervention: a machine learning approach10 cited
  • 2024Internet- and mobile-based aftercare and relapse prevention interventions for anxiety and depressive disorders: a systematic review7 cited
  • 2025Prediction of treatment outcome in patients receiving internet-delivered cognitive behavioural therapy for depressive and anxiety symptoms: a machine learning analysis of data from a healthcare-embedded longitudinal study4 cited
  • 2025Machine Learning Model for Response to Internet-Delivered CBT vs Antidepressant Medication3 cited
  • 2023Digital Mental Health Interventions: A Comprehensive Systematic Review3 cited
  • 2024Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model1 cited
  • 2025AI-Driven Mental Health Support for Caregivers of Individuals With Alzheimer Disease: Systematic Literature Review and Development of a Conceptual Framework1 cited