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Digitalisierung und maschinelles Lernen in der Psychotherapieforschung und Praxis – Potentiale und Probleme
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Digitalisierung und maschinelles Lernen in der Psychotherapieforschung und Praxis – Potentiale und Probleme (2023)Digitalisierung und maschinelles Lernen i…Prospective evaluation of a clinical decision support system in psychological therapy. (2021)Prospective evaluation of a c…Measurement-Based and Data-Informed Psychological Therapy (2021)Measurement-Based and Data-In…Personalized treatment selection in routine care: Integrating machine learning and statistical algorithms to recommend cognitive behavioral or psychodynamic therapy (2020)Personalized treatment select…Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN) (2019)Towards integrating personali…Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study (2018)Using network analysis for th…Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Social Relationships and Health (1988)Machine learning and natural language processing in psychotherapy research: Alliance as example use case. (2020)Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. (1991)Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. (1991)Bergin and Garfield's Handbook of Psychotherapy and Behavior Change (2003)A scoping review of machine learning in psychotherapy research (2020)Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health (2020)Psychopathological networks: Theory, methods and practice (2021)Judgment under Uncertainty: Heuristics and Biases (1974)Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation (1988)A 12-Item Short-Form Health Survey (1996)Personalized Medicine and Cognitive Behavioral Therapies for Depression: Small Effects, Big Problems, and Bigger Data (2020)Heterogeneity of treatment effects in trials on psychotherapy of depression. (2022)Is it worth it to personalize the treatment of PTSD? – A variance-ratio meta-analysis and estimation of treatment effect heterogeneity in RCTs of PTSD (2022)A network theory of mental disorders (2017)Can we predict who will benefit from cognitive-behavioural therapy? A systematic review and meta-analysis of machine learning studies (2022)State of the Science: The Hierarchical Taxonomy of Psychopathology (HiTOP) (2024)Implementing precision methods in personalizing psychological therapies: Barriers and possible ways forward (2023)
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References

  • 2019Towards integrating personalized feedback research into clinical practice: Development of the Trier Treatment Navigator (TTN)212 cited
  • 2021Prospective evaluation of a clinical decision support system in psychological therapy.140 cited
  • 2018Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study132 cited
  • 2021Measurement-Based and Data-Informed Psychological Therapy129 cited
  • 2020Personalized treatment selection in routine care: Integrating machine learning and statistical algorithms to recommend cognitive behavioral or psychodynamic therapy93 cited

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