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Updated: May 30, 2025

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使用机器学习预测转化为精神病:对Cannon的回应

Jason Smucny1, Tyrone D Cannon2,3, Carrie E Bearden4,5

  • 1Department of Psychiatry, University of California, Davis, Davis, CA, United States.

Frontiers in psychiatry
|January 30, 2025
PubMed
概括

机器学习模型可以预测高风险个体的精神病转化. 然而,在一个数据集 (NAPLS-3) 上训练的模型在另一个数据集 (NAPLS-2) 上测试时显示精度降低,限制了临床应用.

关键词:
纳普尔斯 (Naples) 是一个城市.临床高风险 (CHR) 临床高风险可以概括的概括性.在抽样评估之外.精神病风险症状的规模.精神分裂症是一种精神分裂症.

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