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Updated: May 6, 2026

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

Published on: January 11, 2020

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开发一种机器学习算法,以预测剩余认知储备指数.

Brandon E Gavett1, Sarah Tomaszewski Farias1, Evan Fletcher1

  • 1Department of Neurology, University of California Davis School of Medicine, Sacramento, CA 95816, USA.

Brain communications
|August 2, 2024
PubMed
概括

这项研究开发了机器学习模型来估计认知储备,这是对抗认知衰退的大脑弹性的衡量标准. 最好的模型,结合认知表现和告知者数据,准确预测了储备和缓和的大脑认知链接,而不需要神经成像.

关键词:
老化的老化 衰老的老化认知储备是一个认知储备.机器学习是机器学习.磁共振成像技术的使用神经心理学神经心理学

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