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Updated: Sep 11, 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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临床参数预测了老年轻度认知障碍 (MCI) 患者的痴呆进展

Nora Molina-Torres1, Carlos Platero2, Oscar Pérez-Berasategui3

  • 1LAGENBIO, Laboratorio de Genética Bioquímica. Facultad de Veterinaria, Universidad de Zaragoza, C/ Miguel Servet 177, 50013 Zaragoza. Spain; Geriatrics Department, Hospital Nuestra Señora de Gracia, C. de Santiago Ramón y Cajal, 60, 50004, Zaragoza, Spain; Instituto de Investigación Sanitaria de Aragón (IIS Aragón). Centro de Investigación Biomédica de Aragón, C. de San Juan Bosco, 13, 50009 Zaragoza, Spain; Centre for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029, Madrid, Spain.

International psychogeriatrics
|August 13, 2025
PubMed
概括

临床评估,包括迷你精神状态检查 (MMSE),时钟测试和劳顿检查.

关键词:
阿尔茨海默氏症是阿尔茨海默氏症的疾病疾病进展模型 (DPM)在MCI中,MCI是MCI.这是一个MMSE.最古老的古老的古老的古老

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