PREACT

Hammelrath L., Heinrich M., Burggraf P., Schenk, H., Knaevelsrud C. (2023, June 5-7). Tell me how I feel! Development of an Algorithm to Predict Depression Symptoms Based on Wearable Data. [Poster]. Society for Ambulatory Assessment, Amsterdam, Netherlands.

Chavanne, A. V., Meinke, C., Langhammer, T., Roesmann, K., Boehnlein, J., Gathmann, B., ..., Leehr, E. J., Hilbert, K. (2023). Individual-level prediction of exposure therapy outcome using structural and functional MRI data in spider phobia: a machine-learning study. Depression and Anxiety, 8594273. *both authors contributed equally https://www.hindawi.com/journals/da/2023/8594273/

Meinke, C., Lueken, U., Walter, H., & Hilbert, K. (2023, May 10-13). Können Resting-State fMRT Konnektivität und maschinelles Lernen zur Prädiktion des individuellen Behandlungserfolgs genutzt werden? - Ein systematisches Review [Can resting-state functional connectivity and machine learning be employed to predict treatment response on an individual-subject level? - A systematic review] [Poster session]. 2. Deutscher Psychotherapie Kongress, Berlin, Germany.