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Updated: Jun 16, 2025

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环境对eGFR的影响:用于横截面研究的机器学习建模方法

Lei Liu1, Hao Zhou2, Xueli Wang3

  • 1Department of Pathology, Affiliated Hospital of Nantong University, Nantong, China.

Frontiers in public health
|August 16, 2024
PubMed
概括

机器学习模型使用NHANES数据将环境暴露与估计的膜过率 (eGFR) 联系起来. 某些,如三三和双S,与EGFR呈正相关性.

关键词:
尼汉斯 (NHANES) 是一个名人.环境暴露环境暴露环境暴露球膜过率是指球膜的过率机器学习是机器学习.现类是存在于物质中的一种.

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Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
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