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校正:从传统的代谢标志物到组合学习:对机器学习模型的比较应用来预测青少年的NAFLD风险

Chenming Zhang1, Bin Niu2,3, Rong Wang2,3

  • 1Academy of Medical Sciences, Shanxi Medical University, Taiyuan, China.

Frontiers in endocrinology
|February 23, 2026
PubMed
概括

这项研究纠正了先前发表的一篇文章的DOI. 校正确保了科学界对研究结果的适当引用和访问.

关键词:
青少年 青少年 青少年功能选择 功能选择机器学习是机器学习.非酒精性脂肪性肝病是非酒精性脂肪性肝病.公共卫生公共卫生.

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