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机器学习模型用于预测中国大学生的抑郁症状风险

Chengfu Yu1, Xiangxuan Kong1, Weijie Yu1

  • 1Department of Psychology/Research Center of Adolescent Psychology and Behavior, School of Education, Guangzhou University, Guangzhou, Guangdong, China.

Frontiers in psychiatry
|August 21, 2025
PubMed
概括

机器学习可以使用随机森林准确预测大学生抑郁风险. 关键因素包括睡眠不足,压力和自我批评,

关键词:
大学生抑郁症的症状机器学习随机森林风险和保护因素

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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
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