Personalized treatment selection in routine care: Integrating machine learning and statistical algorithms to recommend cognitive behavioral or psychodynamic therapy.

Objective: This study aims at developing a treatment selection algorithm using a combination of machine learning and statistical inference to recommend patients' optimal treatment based on their pre-treatment characteristics. Methods: A disorder-heterogeneous, naturalistic sample of N = 1,379 outpat...

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Publicado en:	Psychotherapy Research Vol. 31; no. 1; pp. 33 - 52
Autores principales:	Schwartz, Brian, Cohen, Zachary D., Rubel, Julian A., Zimmermann, Dirk, Wittmann, Werner W., Lutz, Wolfgang
Formato:	Artículo
Publicado:	Taylor & Francis Ltd Jan2021
Materias:	Cognitive therapy Patient selection Statistical learning Machine learning Behavior therapists Psychodynamic psychotherapy Random forest algorithms
Acceso en línea:	Ver este registro en EBSCOhost