Using Four Machine Learning Methods to Analyze the Association Between Polycyclic Aromatic Hydrocarbons and Visual Impairment in American Adults: Evidence from NHANES

Using Four Machine Learning Methods to Analyze the Association Between Polycyclic Aromatic Hydrocarbons and Visual Impairment in American Adults: Evidence from NHANES

The causes of visual impairment are complex and may be influenced by exposure to environmental pollutants. Using data from the 2003–2004 National Health and Nutrition Examination Survey (NHANES), we examined the association between exposure to ten polycyclic aromatic hydrocarbons (PAHs) and vision p...

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Bibliographic Details
Main Authors: Xiaowei Zang, Wei Zhou, Hengguo Zhang, Xiaodong Zang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Toxics
Subjects:
PAHs
visual impairment
weighted quantile sum regression
Bayesian kernel machine regression
2-fluorene
alkaline phosphatase
Online Access:https://www.mdpi.com/2305-6304/12/11/789
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