Using machine learning algorithms to predict the effects of change processes in psychotherapy: Toward process-level treatment personalization.

Autor(en): Penedo, Juan Martín Gómez
Rubel, Julian 
Meglio, Manuel
Bornhauser, Leo
Krieger, Tobias
Babl, Anna
Muiños, Roberto
Roussos, Andrés
Delgadillo, Jaime
Flückiger, Christoph
Berger, Thomas
Lutz, Wolfgang
Holtforth, Martin Grosse
Stichwörter: Psychology; Session (web analytics); Outcome (game theory); Relevance (law); Psychotherapist; Clinical psychology; Machine learning; Process (computing); Sample (material); Computer science; Chemistry; Mathematics; Mathematical economics; Chromatography; World Wide Web; Political science; Law; Operating system
Erscheinungsdatum: 2023
DOI: https://doi.org/10.1037/pst0000507

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