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使用机器学习构建低肌肉质量与代谢综合征的预测模型

Yanxuan Wu1,2, Fu Li1,2, Hao Chen1,2

  • 1Neck-Shoulder and Lumbocrural Pain Hospital of Shandong First Medical University, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China.

PloS one
|September 9, 2025
PubMed
概括

这项研究开发了一种机器学习模型,用于识别患有代谢综合征的年轻成年人的低肌肉质量. 关键预测因素包括身高,性别,腰围,大腿长度和性酸酶,有助于早期查肉.

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

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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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