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Updated: Jun 16, 2026

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
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机器学习,门德尔随机化和实验验证的综合方法,用于在糖尿病病中发现生物标志物

Yidong Zhu1, Jun Liu1, Bo Wang2

  • 1Department of Traditional Chinese Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

Diabetes, obesity & metabolism
|October 7, 2024
PubMed
概括

这项研究使用机器学习和门德尔随机化确定了二氧化碳酶II (CA2) 作为糖尿病病 (DN) 的关键生物标志物. CA2显示出优异的预测性能,并且可能参与DN中的免疫相关途径.

关键词:
门德尔的随机化生物标志物生物标志物二氧化碳无水酶II的使用糖尿病性脏病 糖尿病性脏病机器学习是机器学习.

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