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Correction: Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings.更正：评估无区域信息的机器学习算法在资源匮乏环境中识别癫痫的可推广性。
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本文引用的文献

1
Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings.评估在资源匮乏环境中用于识别癫痫的区域无感知机器学习算法的通用性。
PLOS Digit Health. 2025 Feb 12;4(2):e0000491. doi: 10.1371/journal.pdig.0000491. eCollection 2025 Feb.

更正：评估无区域信息的机器学习算法在资源匮乏环境中识别癫痫的可推广性。

Correction: Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings.

作者信息

Duta Ioana, Kariuki Symon M, Ngugi Anthony K, Mwesige Angelina Kakooza, Masanja Honorati, Mwanga Daniel M, Owusu-Agyei Seth, Wagner Ryan, Cross J Helen, Sander Josemir W, Newton Charles R, Sen Arjune, Jones Gabriel Davis

出版信息

PLOS Digit Health. 2025 Apr 17;4(4):e0000841. doi: 10.1371/journal.pdig.0000841. eCollection 2025 Apr.

DOI:10.1371/journal.pdig.0000841
PMID:40245014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12005543/
Abstract

[This corrects the article DOI: 10.1371/journal.pdig.0000491.].

摘要

[本文更正了文章的数字对象标识符：10.1371/journal.pdig.0000491。]