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机器学习用于预测精神分裂症,基于识别轻微物理异常的主要影响和相互作用影响

Shuen-Lin Jeng1, Ming-Jun Tu2, Chih-Wei Lin3

  • 1Department of Statistics, Institute of Data Science, and Center for Innovative FinTech Business Models, National Cheng Kung University, Tainan, Taiwan.

Journal of psychiatric research
|February 19, 2024
PubMed
概括

机器学习模型有效地使用轻微的物理异常 (MPA) 预测精神分裂症风险,识别关键的面部和口腔特征及其相互作用作为重要标记.

关键词:
机器学习方法 机器学习方法微小的物理异常.精神分裂症是一种精神分裂症.三项物品的互动互动.两个项目互动的互动.

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