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Updated: Jul 14, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
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通过机器学习预测患有IgA血管炎的儿童的损伤

Mengen Pan1, Ming Li2, Na Li1

  • 1Zhejiang University School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.

Pediatric nephrology (Berlin, Germany)
|June 25, 2024
PubMed
概括

机器学习可以准确地预测IgA血管炎 (IgAV) 儿童的损伤. 开发的模型确定了IgA血管炎与炎 (IgAVN) 的关键风险因素,有助于早期诊断和治疗.

关键词:
在 IgA 血管炎.具有炎的IgA血管炎机器学习 机器学习预测模型的预测模型随机的森林 随机的森林

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