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Updated: Jan 17, 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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校正:开发和验证一种可解释的机器学习模型,用于预测老年人多病症睡眠障碍的风险:一个横截面研究

Xia Wang1, Dan Zhang2, Liu Lu3

  • 1School of Basic Medical Sciences and School of Nursing, Chengdu University, Chengdu, China.

Frontiers in public health
|September 15, 2025
PubMed
概括

这项研究纠正了先前发表的一篇文章的DOI. 校正确保了对公共卫生专业人员的研究结果的准确引用和检索.

关键词:
机器学习是机器学习.多重病态性多重病态性年龄较大的成年人.预测模型 预测模型睡眠障碍 睡眠障碍是一种睡眠障碍.

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