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基于机器学习的多变量预测模型的开发,用于概括焦虑障碍的自然过程

Candice Basterfield1, Michelle G Newman1

  • 1Pennsylvania State University, USA.

Journal of anxiety disorders
|February 4, 2025
PubMed
概括

机器学习准确地预测了9年来通用焦虑障碍 (GAD) 的恢复. 不恢复的关键预测因素包括抑郁和歧视,而教育和积极的影响预测了恢复.

关键词:
分类 分类 分类 分类.弹性网是一种弹性网.泛性焦虑障碍是一种普遍的焦虑障碍.梯度增加了树木的增长.机器学习是机器学习.

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