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谁参与其中? 机器学习对基于正念的数字干预对泛性焦虑障碍的见解

Nur Hani Zainal1, Michelle G Newman2

  • 1National University of Singapore, Department of Psychology, Kent Ridge Campus, Singapore.

Journal of affective disorders
|December 21, 2025
PubMed
概括

机器学习准确地预测了针对通用焦虑症 (GAD) 的正念干预措施的参与. 关键预测因素包括较低的GAD严重程度和更好的执行功能,为定制的数字心理健康治疗提供信息.

关键词:
数字化处理的参与度.泛性焦虑障碍是一种普遍的焦虑障碍.可以解释的机器学习正念生态瞬间干预 干预精准医学是一门精准的医学.随机对照试验是随机对照试验.

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