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Updated: Mar 14, 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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社会和心血管风险因素作为从轻度认知障碍到痴呆症进展的预测因素在大型EHR数据库中

Silvia Miramontes, Erin L Ferguson, Scott Zimmerman

    medRxiv : the preprint server for health sciences
    |March 13, 2026
    PubMed
    概括

    临床和社会因素显著影响从轻度认知障碍 (MCI) 到阿尔茨海默氏症和相关痴呆症 (AD/ADRD) 的进展. 了解这些决定因素可以帮助识别有风险的个体,以便更早地进行干预和预防痴呆.

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