为大学生预测正念虚拟社区干预的有效性:机器学习模型

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Christo El Morr1, Farideh Tavangar2, Farah Ahmad1

  • 1School of Health Policy and Management, York University, Toronto, ON, Canada.

Interactive journal of medical research
|April 5, 2024
PubMed
概括

预测学生心理健康的正念虚拟社区 (MVC) 干预措施的成功是可以使用机器学习的. 学生参与的正念视频是有效减少抑郁,焦虑和压力的关键预测指标.

关键词:
加拿大加拿大加拿大加拿大加拿大加拿大焦虑是一种焦虑.人工智能的人工智能是人工智能.行为疗法是一种行为疗法.抑郁 抑郁症 抑郁症 抑郁症 抑郁症机器学习是机器学习.正念是一种正念的状态.正念视频视频正念的视频在线在线在线 在线在线在线在线在线视频在线视频随机对照试验是随机对照试验.社会和人口统计学.压力就是压力,压力就是压力.学生 学生 学生 学生症状 症状 症状 症状 症状虚,虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚, 虚,虚拟护理是指虚拟的护理.一个虚拟社区,一个虚拟社区.

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