Supplemental Material for Using Machine Learning Algorithms to Predict the Effects of Change Processes in Psychotherapy: Toward Process-Level Treatment Personalization

IF 2.6 2区心理学 Q2 PSYCHOLOGY, CLINICAL Psychotherapy Pub Date : 2023-10-05 DOI:10.1037/pst0000507.supp

引用次数: 0

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

使用机器学习算法预测心理治疗中变化过程的影响:迈向过程级治疗个性化

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Psychotherapy PSYCHOLOGY, CLINICAL-

CiteScore

4.60

自引率

12.00%

发文量

期刊介绍： Psychotherapy Theory, Research, Practice, Training publishes a wide variety of articles relevant to the field of psychotherapy. The journal strives to foster interactions among individuals involved with training, practice theory, and research since all areas are essential to psychotherapy. This journal is an invaluable resource for practicing clinical and counseling psychologists, social workers, and mental health professionals.

期刊最新文献

Contribution of attachment insecurity to the role and outcome expectations of romantic partners entering couple therapy. We do this till we heal us: Black mental health professionals' experiences working with Black patients suffering from racial trauma. Dismantling amatonormative biases and expanding queer-affirmative psychotherapy: The role of trainers. Disrupting the status quo in psychology training: Centering structural competence in accreditation. Alliance rupture and repair in adolescent psychotherapy: What clinicians can learn from research.