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Updated: Jan 28, 2026

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在牛津分类系统中使用机器学习进行IgA脏病T-score的非侵入性预测

Jingyu Dou1, Shuhua Jin2, Xiaoyue Ma1

  • 1Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Frontiers in endocrinology
|January 26, 2026
PubMed
概括

这项研究表明,将计算机断层扫描 (CT) 放射学与临床数据相结合,可以准确地预测IgA脏病 (IgAN) 牛津分类T-scores用于机器学习的脏间歇性纤维化.

关键词:
在IgA脏病发作中,IgA脏病发作机器学习是机器学习.预测模型 预测模型无线电学 (radiomics) 是一种无线电学.脏间歇性纤维化

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