Psychologie

Unsere Expertise liegt in der Anwendung von machine learning-Verfahren im Bereich der Psychotherapie(forschung). Durch die Auswertung von Patientendaten sollen klinische Entscheidungen in Prognostik, differenzieller Indikation und Evaluation unterstützt werden, was die Effektivität von Psychotherapien erhöhen soll (Maximierung der positiven und Minimierung der negativen Effekte).

Beteiligte Arbeitsgruppen

Projekte

• Projekte-Auswertung von psychotherapeutischen Big Data Datensätzenbezüglich Prädiktoren des Outcomes und Identifikation von Veränderungsmechanismen
• Routine Outcome Monitoring in der Psychotherapie
• Ecological Momentary Assessment zur Vorhersage von Problemverhalten

Publikationen

• Herzog, P., Feldmann, M., Kube, T., Langs, G., Gärtner, T., Rauh, E., Doerr, R., Hillert, A., Voderholzer, U., Rief, W., Endres, D., & Brakemeier, E.-L. (2022). Inpatient psychotherapy for depression in a large routine clinical care sample: A Bayesian approach to examining clinical outcomes and predictors of change. Journal of Affective Disorders, 305, 133–143. https://doi.org/10.1016/j.jad.2022.02.057 
• Herzog, P., Voderholzer, U., Gärtner, T., Osen, B., Svitak, M., Doerr, R., Rolvering-Dijkstra, M., Feldmann, M., Rief, W., & Brakemeier, E.-L. (2020). Predictors of outcome during inpatient psychotherapy for posttraumatic stress disorder: A single-treatment, multi-site, practice-based study. Psychotherapy Research, 1–15. https://doi.org/10.1080/10503307.2020.1802081 
• Kaiser, T., Brakemeier, E.-L., & Herzog, P. (2023). What if we wait? Using synthetic waiting lists to estimate treatment effects in routine outcome data. Psychotherapy Research, 1–15. https://doi.org/10.1080/10503307.2023.2182241 
• Kaiser, T., Herzog, P., Voderholzer, U., & Brakemeier, E. (2021). Unraveling the comorbidity of depression and anxiety in a large inpatient sample: Network analysis to examine bridge symptoms. Depression and Anxiety, da.23136. https://doi.org/10.1002/da.23136 
• Kaiser, T., Herzog, P., Voderholzer, U., & Brakemeier, E.-L. (2022). Out of sight, out of mind? High discrepancy between observer- and patient-reported outcome after routine inpatient treatment for depression. Journal of Affective Disorders, S0165032722000210. https://doi.org/10.1016/j.jad.2022.01.019
• Kaiser, T., & Laireiter, A. R. (2017). DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy. JMIR Medical Informatics, 5(3), e20. https://doi.org/10.2196/medinform.6808
• Herzog, P., Feldmann, M., Voderholzer, U., Gärtner, T., Armbrust, M., Rauh, E., Doerr, R., Rief, W., & Brakemeier, E.-L. (in revision). Drawing the Borderline: Predicting treatment outcomes in Patients with borderline personality disorder, Behavior Research and Therapy
• Herzog, P., Voderholzer, U., Gärtner, T., Osen, B., Svitak, M., Doerr, R., Rolvering-Dijkstra, M., Feldmann, M., Rief, W., & Brakemeier, E.-L. (in revision). Identifying predictors of treatment outcome in posttraumatic stress disorder: A naturalistic, multi-site, single-treatment study based on machine learning, Psychotherapy Research