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Updated: Jul 14, 2025

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基于机器学习的阿尔茨海默病及其风险状态的分类,使用人格特征,焦虑和抑郁

Konrad F Waschkies1,2, Joram Soch1,3, Margarita Darna1,4

  • 1German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.

International journal of geriatric psychiatry
|October 6, 2023
PubMed
概括

人格特征,抑郁和焦虑得分有效预测阿尔茨海默病 (AD) 和其早期阶段. 大脑脊髓液生物标志物也在诊断阿尔茨海默病和风险人群中发挥着至关重要的作用.

关键词:
阿尔茨海默病的疾病阿尔茨海默病的疾病.缓慢的认知障碍 缓慢的认知障碍生物标志物生物标志物大脑脊髓液中的脑脊液.功能磁力共振成像 (fMRI) 是一种功能共振成像.机器学习是机器学习.个性化的个性.休息状态的休息状态.主观认知衰退 主观认知衰退支持矢量机器的支持矢量机器.

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