Individual Risk of Not Responding to Psychotherapy in Latin America: Bringing Data-Informed Precision Care to Underresourced Clinical Settings.

Objective: Machine learning has a great potential for prospectively forecasting individual patient response to mental health care (MHC), thereby enabling treatment personalization. However, previous efforts have been limited to populations living in predominantly higher income, developed countries....

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Publicado en:	Journal of Consulting & Clinical Psychology Vol. 92; no. 12; pp. 836 - 843
Autores principales:	Gómez Penedo, Juan Martín, Errázuriz, Paula, Coyne, Alice E., Flückiger, Christoph
Formato:	Artículo
Publicado:	American Psychological Association Dec2024
Materias:	Mental health services Psychotherapy Random forest algorithms Machine learning Clinical medicine Developing countries
Acceso en línea:	Ver este registro en EBSCOhost