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Updated: Jun 10, 2025

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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用轻度认知症状的人的认知评估对未来痴呆症的个性化,交叉验证的预测

Emma Borland1,2, Niklas Mattson-Carlgren1,2,3, Pontus Tideman1,4

  • 1Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Faculty of Medicine at Lund University, Clinical Research Centre, Malmö, Sweden.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|October 17, 2024
PubMed
概括

这项研究开发了一种两步算法,使用简短的认知测试来准确预测个体痴呆风险. 该模型有助于将个人分类为低风险,中等风险或高风险,有助于临床决策.

关键词:
认知障碍是一种认知障碍.痴呆症 痴呆症是一种痴呆症.轻度的认知障碍 轻度的认知障碍预测痴呆症 痴呆症的预测主观认知衰退 主观认知衰退两个步骤模型模型.

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