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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Bibliographic Details

Published in:	Journal of Consulting & Clinical Psychology Vol. 92; no. 12; pp. 836 - 843
Main Authors:	Gómez Penedo, Juan Martín, Errázuriz, Paula, Coyne, Alice E., Flückiger, Christoph
Format:	Article
Published:	American Psychological Association Dec2024
Subjects:	Mental health services Psychotherapy Random forest algorithms Machine learning Clinical medicine Developing countries
Online Access:	View this record in EBSCOhost