对"使用临床和行为特征预测阿尔茨海默病的可解释机器学习模型的开发"的修正 [方法X 15 (2025) 103491]
Rajkumar Govindarajan1, K Thirunadanasikamani1, Komal Kumar Napa2
1Department of Computer Science and Engineering, St. Peter's Institute of Higher Education and Research, Avadi, Chennai, India.
MethodsX
|August 21, 2025
概括
这项研究纠正了先前发表的DOI文章. 校正确保了准确的引用和参考,以便在该领域进行未来的研究.
科学领域:
- 科学出版
- 研究完整性
背景情况:
- 确保科学文献的准确性至关重要.
- 适当的引用有助于研究的可复制性.
研究的目的:
- 为了纠正文章DOI中的错误.
- 为了保持科学记录的完整性.
主要方法:
- 一个纠正通知被发出.
- 提供了正确的DOI.
主要成果:
- 这篇文章 DOI 已更新.
- 现在科学记录是准确的.
结论:
- 这种纠正符合研究标准.
- 准确的DOI对于科学传播至关重要.
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