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A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression
8 references·16 citing·52 second hop
A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression (2018)A machine learning ensemble to predict tr…Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms (2017)Efficacy of Self-guided Inter…Effectiveness of an individually-tailored computerised CBT programme (Deprexis) for depression: A meta-analysis (2017)Effectiveness of an individua…Variable importance analysis: A comprehensive review (2015)Variable importance analysis:…Rethinking the Dose-Response Relationship Between Usage and Outcome in an Online Intervention for Depression: Randomized Controlled Trial (2013)Rethinking the Dose-Response …Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis (2006)Internet-based cognitive beha…Are patient expectations still relevant for psychotherapy process and outcome? (2005)Are patient expectations stil…Psychometric properties of the credibility/expectancy questionnaire (2000)Psychometric properties of th…A RATING SCALE FOR DEPRESSION (1960)A RATING SCALE FOR DEPRESSIONThe Role of Machine Learning in AR/VR-Based Cognitive Therapies: A Systematic Review for Mental Health Disorders (2025)The Role of Machine Learning …Things You Do: A randomized controlled trial of an unguided ultra-brief intervention to reduce symptoms of depression and anxiety (2024)Things You Do: A randomized c…Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapy (2024)Methodological choices and cl…Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review (2024)Examining the role of AI tech…Artificial intelligence and psychotherapy: A counterpoint (2024)Artificial intelligence and p…Select or adjust? How information from early treatment stages boosts the prediction of non-response in internet-based depression treatment (2023)Select or adjust? How informa…Predicting individual response to a web-based positive psychology intervention: a machine learning approach (2023)Predicting individual respons…Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward (2023)Implementing precision method…Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised‐controlled trials (2023)Does outcome expectancy predi…Predictors of Treatment Response to an Internet-Delivered Intervention Targeting Residual Cognitive Symptoms After Major Depressive Disorder (2022)Predictors of Treatment Respo…Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom (2021)Using smartphone app use and …Predictors of adherence to an internet-based cognitive behavioral therapy program for individuals with chronic pain and comorbid psychological distress (2021)Predictors of adherence to an…Computerized Psychological Interventions in Veterans and Service Members: Systematic Review of Randomized Controlled Trials (2021)Computerized Psychological In…Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial (2020)Using Artificial Intelligence…Targeted prescription of cognitive–behavioral therapy versus person-centered counseling for depression using a machine learning approach. (2019)Targeted prescription of cogn…Network analyses reveal which symptoms improve (or not) following an Internet intervention (Deprexis) for depression (2019)Network analyses reveal which…An Inventory for Measuring Depression (1961)Manual for the State-Trait Anxiety Inventory (1970)The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories (1995)A Qualitative Study (2009)Conceptual and methodological issues in research on mindfulness and meditation. 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References

  • 1960A RATING SCALE FOR DEPRESSION32,812 cited
  • 2000Psychometric properties of the credibility/expectancy questionnaire2,285 cited
  • 2006Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis1,585 cited
  • 2017Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms691 cited
  • 2015Variable importance analysis: A comprehensive review526 cited
  • 2005Are patient expectations still relevant for psychotherapy process and outcome?477 cited
  • 2013Rethinking the Dose-Response Relationship Between Usage and Outcome in an Online Intervention for Depression: Randomized Controlled Trial193 cited
  • 2017Effectiveness of an individually-tailored computerised CBT programme (Deprexis) for depression: A meta-analysis103 cited

Cited by

  • 2023Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward107 cited
  • 2019Targeted prescription of cognitive–behavioral therapy versus person-centered counseling for depression using a machine learning approach.101 cited
  • 2024Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review71 cited
  • 2025The Role of Machine Learning in AR/VR-Based Cognitive Therapies: A Systematic Review for Mental Health Disorders60 cited
  • 2020Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial

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42 cited
  • 2021Using smartphone app use and lagged-ensemble machine learning for the prediction of work fatigue and boredom31 cited
  • 2019Network analyses reveal which symptoms improve (or not) following an Internet intervention (Deprexis) for depression30 cited
  • 2024Artificial intelligence and psychotherapy: A counterpoint21 cited
  • 2021Predictors of adherence to an internet-based cognitive behavioral therapy program for individuals with chronic pain and comorbid psychological distress20 cited
  • 2024Methodological choices and clinical usefulness for machine learning predictions of outcome in Internet-based cognitive behavioural therapy20 cited
  • 2023Select or adjust? How information from early treatment stages boosts the prediction of non-response in internet-based depression treatment13 cited
  • 2021Computerized Psychological Interventions in Veterans and Service Members: Systematic Review of Randomized Controlled Trials11 cited
  • 2024Things You Do: A randomized controlled trial of an unguided ultra-brief intervention to reduce symptoms of depression and anxiety11 cited
  • 2023Predicting individual response to a web-based positive psychology intervention: a machine learning approach10 cited
  • 2022Predictors of Treatment Response to an Internet-Delivered Intervention Targeting Residual Cognitive Symptoms After Major Depressive Disorder10 cited
  • 2023Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised‐controlled trials6 cited