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Updated: Feb 7, 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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可解释的机器学习与贝叶斯超优化用于从纵向养老院数据预测认知障碍

Silvia Campanioni1,2, Laura Busto1,2, José A González-Novoa2,3

  • 1Galicia Sur Health Research Institute (IIS Galicia Sur), Cardiovascular Research Group, Vigo, Spain.

Scientific reports
|February 5, 2026
PubMed
概括

这项研究开发了一个人工智能框架,利用各种数据预测养老院居民的认知障碍 (CI). 临床变量是最重要的预测因素,增强了个性化护理策略.

关键词:
人工智能 (AI) 是一种人工智能.认知障碍 (CI) 是一种认知障碍.可解释的人工智能 (XAI)数据的同质化数据的同质化.信息来源 (IS) 是一个信息来源.

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