在2型糖尿病和慢性病患者中,可解释的机器学习预测1年功能进展:一项回顾性研究

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Updated: May 10, 2025

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
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Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

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Jinyi Wu1,2, Qi Gao3,4, Ming Tian3,4

  • 1Department of public health, Wuhan fourth hospital, Wuhan, China.

QJM : monthly journal of the Association of Physicians
|April 24, 2025
PubMed
概括

机器学习准确地预测了2型糖尿病患者1年的慢性病 (CKD) 进展情况. XGBoost模型为临床决策支持提供了一个有价值的工具,以预测功能下降.

关键词:
在CKD中,它是最好的.功能进展 功能进展机器学习 机器学习预测模型是一个预测模型.这就是T2DM.

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