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Updated: May 24, 2025

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在男性工人中,甲相关高血压风险的代谢机器学习预测器

Youyi Wu1, Guoliang Li2, Ming Dong2

  • 1School of Public Health, Anhui Medical University, Hefei 230032, China; Department of Toxicology, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, Guangdong 510300, China.

Journal of pharmaceutical and biomedical analysis
|March 2, 2025
PubMed
概括

职业暴露会增加高血压的风险. 一个使用代谢学和机器学习的新模型准确地预测了暴露的工人的高血压,使得早期干预成为可能.

关键词:
亚是一种.在高血压的高血压.机器学习,LC-MS,机器学习代谢学 代谢学 代谢学

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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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