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Updated: Jul 20, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

校正:使用机器学习来预测中年和老年中国人的认知障碍:一项纵向研究

Haihong Liu^1,2, Xiaolei Zhang^3,4, Haining Liu^2,5,6

¹Centre for Research in Psychology and Human Well-being, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia, Bangi, Malaysia.

International journal of public health

|June 5, 2023

概括

这项研究纠正了先前发表的一篇文章DOI. 校正确保了准确的引用和数据完整性,用于未来的公共卫生研究. 通过更正的DOI提供更多细节.

科学领域:

公共卫生公共卫生
科学出版科学出版

背景情况:

准确的引用对于科学完整性至关重要.
保持正确的公布研究记录对于科学界至关重要.

研究的目的:

为特定文章的数字物体标识符 (DOI) 发布纠正.
确保研究的适当归因和可发现性.

主要方法:

在原始出版物中识别错误的DOI.
发出一个正式的纠正通知与准确的DOI.

主要成果:

这篇文章的DOI已被更正为10.3389/ijph.2023.1605322.
此修正修正了该出版物的文献记录.

结论:

修正后的DOI确保读者和搜索引擎能够准确地访问文章.
这一行动维护了科学出版和研究透明度的标准.

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.纵向研究是一种纵向研究.机器学习是机器学习.中年和年长的中国人.随机的森林随机的森林

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