The impact of multipollutant exposure on hepatic steatosis: a machine learning-based investigation into multipollutant synergistic effects

The impact of multipollutant exposure on hepatic steatosis: a machine learning-based investigation into multipollutant synergistic effects

IntroductionThis study examines the synergistic effects of multi-pollutant exposure on hepatic lipid accumulation in non-alcoholic fatty liver disease (NAFLD) through the application of an explainable machine learning framework. This approach addresses the limitations of traditional models in managi...

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Bibliographic Details
Main Authors: Chunying Yan, Zhanfang Zhu, Xueyan Guo, Wei Zong, Guisheng Liu, Yan Jin, Shiyuan Cui, Fuqiang Liu, Shujuan Gao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Public Health
Subjects:
machine learning
percentage of liver fat (PLF)
heavy metals
polycyclic aromatic hydrocarbons (PAHs)
volatile organic compounds (VOCs)
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1598639/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1598639/full

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