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Updated: Jun 10, 2025

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复杂的情绪动态有助于预测抑郁症:一种机器学习和时间序列特征提取方法

Mackenzie Zisser1, Jason Shumake1, Christopher G Beevers1

  • 1Mood Disorders Laboratory, Institute of Mental Health Research, University of Texas at Austin, 108 E Dean Keeton St, Austin, TX 78712 USA.

Affective science
|October 11, 2024
PubMed
概括

使用机器学习分析情绪动态,为预测抑郁症症状提供了一种新的方法. 这种方法通过检查日常情绪体验中的复杂模式,显著优于传统指标.

关键词:
抑郁症 抑郁症 抑郁症情绪的动态 情绪的动态机器学习 机器学习

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