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Updated: Sep 13, 2025

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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人口队列验证的PM2.5-诱导的基因特征:一种机器学习方法来预测个体暴露.

Yu-Chung Wei1, Wen-Chi Cheng2, Pinpin Lin3

  • 1Graduate Institute of Statistics and Information Science, National Changhua University of Education, Changhua City 500207, Taiwan.

Toxics
|July 25, 2025
PubMed
概括

接触细颗粒物 (PM2.5) 会改变基因表达. 这项研究确定了五种与PM2.5暴露增加的特定基因,为公众健康提供了潜在的生物标志物.

关键词:
对于PM2.5来说,这是一个很好的例子.生物标志物生物标志物机器学习是机器学习.预测模型是一个预测模型.转录基因分析的概况

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相关概念视频

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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