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使用基于可穿戴的深度学习模型在患有急性精神疾病的住院患者中全面预测症状:开发和验证研究

Minseok Hong1,2, Ri-Ra Kang3, Jeong Hun Yang2,4

  • 1Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.

Journal of medical Internet research
|November 13, 2024
PubMed
概括

可穿戴式传感器和深度学习可以准确预测急性患者的精神病症状变化和严重程度. 多任务学习模型显示出在临床环境中全面预测症状的前景.

关键词:
临床决策支持系统.深度学习是一种深度学习.数字现象型数字现象型地方验证验证.精神卫生机构的精神卫生设施.心理健康监测 心理健康监测多任务学习学习智能医院 智能医院是一家智能医院.可穿戴式传感器传感器

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