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Updated: May 23, 2025

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使用机器学习技术在年轻工人中预测代谢综合征发病的预测和预测因子的阐明:日本的一项全国性研究

Miyuki Suda1, Tadao Ooka1, Zentaro Yamagata1

  • 1Department of Health Science, University of Yamanashi, Chuo, Yamanashi, Japan.

Environmental and occupational health practice
|March 10, 2025
PubMed
概括

机器学习模型准确地预测40岁时代代谢综合征 (MS) 发作,使用30多岁的个体的健康数据. 关键预测因素包括男性的血压和女性的体重指数,使早期干预成为可能.

关键词:
血压 血压 血压 血压身体质量指数 (BMI) 是指身体质量指数.机器学习是机器学习.代谢综合征代谢综合征肥胖 肥胖 肥胖 肥胖 肥胖 肥胖 肥胖 肥胖危险的风险 危险的风险

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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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