SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data
16 references·11 citing·50 second hop
Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data (2022)Predicting remission after internet-deliv…Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice (2020)Implementing Precision Psychi…Response and Remission Rates in Internet-Based Cognitive Behavior Therapy: An Individual Patient Data Meta-Analysis (2019)Response and Remission Rates …In the Absence of Effects: An Individual Patient Data Meta-Analysis of Non-response and Its Predictors in Internet-Based Cognitive Behavior Therapy (2019)In the Absence of Effects: An…Who benefits most from therapist-assisted internet-delivered cognitive behaviour therapy in clinical practice? Predictors of symptom change and dropout (2018)Who benefits most from therap…PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration (2018)PROBAST: A Tool to Assess Ris…Predictors of Dropout in Internet-Based Cognitive Behavioral Therapy for Depression (2018)Predictors of Dropout in Inte…Internet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions (2017)Internet-Based Cognitive-Beha…Scaling-up treatment of depression and anxiety: a global return on investment analysis (2016)Scaling-up treatment of depre…Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration (2015)Transparent Reporting of a mu…Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Taking the Human Out of the L…Effectiveness of Internet-based cognitive behaviour therapy for depression in routine psychiatric care (2013)Effectiveness of Internet-bas…Cognitive behavior therapy via the Internet: a systematic review of applications, clinical efficacy and cost–effectiveness (2012)Cognitive behavior therapy vi…To Explain or to Predict? (2010)To Explain or to Predict?The treatment gap in mental health care. (2004)The treatment gap in mental h…A comparison between the Beck Depression Inventory (BDI) and the self-rating version of the Montgomery Åsberg Depression Rating Scale (MADRS) (2001)A comparison between the Beck…A New Depression Scale Designed to be Sensitive to Change (1979)A New Depression Scale Design…Polygenic scores and symptom severity change after internet-delivered cognitive behaviour therapy for depression and anxiety (2025)Polygenic scores and symptom …Machine Learning Model for Response to Internet-Delivered CBT vs Antidepressant Medication (2025)Machine Learning Model for Re…Clinical, genetic, and sociodemographic predictors of symptom severity after internet-delivered cognitive behavioural therapy for depression and anxiety (2025)Clinical, genetic, and sociod…Artificial intelligence-based psychotherapy: focusing on common psychotherapeutic factors (2025)Artificial intelligence-based…The latest developments with internet-based psychological treatments for depression (2024)The latest developments with …Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT (2024)Making the most out of timese…Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH) (2023)Swedish multimodal cohort of …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 heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: Secondary analysis of two randomized controlled trials (2023)Predicting heterogeneous trea…Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety (2023)Deep learning for the predict…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…An Inventory for Measuring Depression (1961)The PHQ-9 (2001)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)Internet Treatment Addressing either Insomnia or Depression, for Patients with both Diagnoses: A Randomized Trial (2015)The first 30 months of the MindSpot Clinic: Evaluation of a national e-mental health service against project objectives (2016)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement (2015)Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement (2015)TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods (2024)A RATING SCALE FOR DEPRESSION (1960)An Evaluation of the Quick Inventory of Depressive Symptomatology and the Hamilton Rating Scale for Depression: A Sequenced Treatment Alternatives to Relieve Depression Trial Report (2005)SELF-REPORT AND CLINICIAN-RATED MEASURES OF DEPRESSION SEVERITY: CAN ONE REPLACE THE OTHER? (2012)Diagnostic and Statistical Manual of Mental Disorders (2013)ACEs and counter-ACEs: How positive and negative childhood experiences influence adult health (2019)Delivering interventions for depression by using the internet: randomised controlled trial (2004)Computer Therapy for the Anxiety and Depressive Disorders Is Effective, Acceptable and Practical Health Care: A Meta-Analysis (2010)Internet and Computer-Based Cognitive Behavioral Therapy for Anxiety and Depression in Youth: A Meta-Analysis of Randomized Controlled Outcome Trials (2015)Internet-Delivered Psychological Treatments (2015)Internet- and Mobile-Based Psychological Interventions: Applications, Efficacy, and Potential for Improving Mental Health (2018)Development of a Rating Scale for Primary Depressive Illness (1967)Diagnostic Criteria for Use in Psychiatric Research (1972)The PHQ-9: A New Depression Diagnostic and Severity Measure (2002)The validity of the Hospital Anxiety and Depression Scale (2002)The functioning and well-being of depressed patients. Results from the Medical Outcomes Study (1989)Psychiatric disorders in America: the epidemiologic catchment area study (1991)The world health report 2001 - Mental health: new understanding, new hope (2001)Treatment and prevention of mental disorders in low-income and middle-income countries (2007)Challenges and Opportunities in Global Mental Health: a Research-to-Practice Perspective (2017)Trends in college student mental health and help-seeking by race/ethnicity: Findings from the national healthy minds study, 2013–2021 (2022)Design and Analysis of Computer Experiments (1989)Practical Bayesian Optimization of Machine Learning Algorithms (2012)A Tutorial on Bayesian Optimization (2018)Bayesian Optimization (2018)Bayesian Optimization for Adaptive Experimental Design: A Review (2020)No health without mental health (2007)Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010 (2013)Psychological Treatments for the World: Lessons from Low- and Middle-Income Countries (2017)Social determinants of mental disorders and the Sustainable Development Goals: a systematic review of reviews (2018)Transforming Our World: The 2030 Agenda for Sustainable Development (2018)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence (2021)PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods (2025)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Specification Tests in Econometrics (1978)Common risk factors in the returns on stocks and bonds (1993)An updated and expanded assessment of PLS-SEM in information systems research (2017)When to use and how to report the results of PLS-SEM (2018)Predictive model assessment in PLS-SEM: guidelines for using PLSpredict (2019)
this work references cited by second hop

References

  • 1979A New Depression Scale Designed to be Sensitive to Change13,964 cited
  • 2015Taking the Human Out of the Loop: A Review of Bayesian Optimization6,126 cited
  • 2015Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration5,114 cited
  • 2010To Explain or to Predict?2,974 cited
  • 2018PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration1,663 cited
  • 2016Scaling-up treatment of depression and anxiety: a global return on investment analysis1,448 cited
  • 2004The treatment gap in mental health care.1,417 cited
  • 2012Cognitive behavior therapy via the Internet: a systematic review of applications, clinical efficacy and cost–effectiveness672 cited
  • 2001A comparison between the Beck Depression Inventory (BDI) and the self-rating version of the Montgomery Åsberg Depression Rating Scale (MADRS)481 cited
  • 2013Effectiveness of Internet-based cognitive behaviour therapy for depression in routine psychiatric care224 cited
  • 2020Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice221 cited
  • 2017Internet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions217 cited
  • 2018Predictors of Dropout in Internet-Based Cognitive Behavioral Therapy for Depression92 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2018Who benefits most from therapist-assisted internet-delivered cognitive behaviour therapy in clinical practice? Predictors of symptom change and dropout75 cited
  • 2019In the Absence of Effects: An Individual Patient Data Meta-Analysis of Non-response and Its Predictors in Internet-Based Cognitive Behavior Therapy74 cited
  • 2019Response and Remission Rates in Internet-Based Cognitive Behavior Therapy: An Individual Patient Data Meta-Analysis71 cited
  • Cited by

    • 2022Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies73 cited
    • 2023Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety19 cited
    • 2024The latest developments with internet-based psychological treatments for depression17 cited
    • 2023Select or adjust? How information from early treatment stages boosts the prediction of non-response in internet-based depression treatment13 cited
    • 2023Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH)11 cited
    • 2023Predicting heterogeneous treatment effects of an Internet-based depression intervention for patients with chronic back pain: Secondary analysis of two randomized controlled trials6 cited
    • 2024Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT4 cited
    • 2025Machine Learning Model for Response to Internet-Delivered CBT vs Antidepressant Medication3 cited
    • 2025Artificial intelligence-based psychotherapy: focusing on common psychotherapeutic factors3 cited
    • 2025Polygenic scores and symptom severity change after internet-delivered cognitive behaviour therapy for depression and anxiety3 cited
    • 2025Clinical, genetic, and sociodemographic predictors of symptom severity after internet-delivered cognitive behavioural therapy for depression and anxiety2 cited