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Updated: Jan 31, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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使用NHANES神经心理测试预测认知障碍的可解释机器学习模型:营养和社会人口学关联

Li Song1, Chenlu Li2, Xiaojiao Xiang3

  • 1Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Frontiers in nutrition
|January 30, 2026
PubMed
概括

机器学习模型使用人口,临床和营养数据准确预测认知障碍. 维生素B2,特别是铜和维生素E,在降低认知能力下降风险方面显示出有前途.

关键词:
这就是为什么BDNF是BDNF.尼汉斯 (NHANES) 是一个名人.这就是 SHAP SHAP 的意思.一个SIRT1系统.认知障碍是一种认知障碍.营养成分的协同作用氧化应激是一种氧化应激.维生素B2 维生素B2 是一种维生素.

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