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

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作者： Brian,Schwartz ^[1] ; Zachary D,Cohen ^[2] ; Julian A,Rubel ^[3] ; Dirk,Zimmermann ^[1] ; Werner W,Wittmann ^[4] ; Wolfgang,Lutz ^[1]

作者单位： University of Trier, Germany. ^[1] University of California, Los Angeles, CA, United States. ^[2] Justus-Liebig-University Giessen, Germany. ^[3] University of Mannheim, Germany. ^[4]

关键词 machine learning outcome prediction outpatient psychotherapy precision medicine random forest variable selection

主题词认知(Cognition);人类(Humans);治疗结果(Treatment Outcome)

DOI 10.1080/10503307.2020.1769219

PMID 32463342

发布时间 2021-05-14

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Psychotherapy research

2021年31卷1期

33-51页

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

Psychotherapy research

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Psychotherapy research

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

Psychotherapy research

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Psychotherapy research

相关期刊

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