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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