Improving the construction and prediction strategy of the Air Quality Health Index (AQHI) using machine learning: A case study in Guangzhou, China

Improving the construction and prediction strategy of the Air Quality Health Index (AQHI) using machine learning: A case study in Guangzhou, China

Effectively capturing the risk of air pollution and informing residents is vital to public health. The widely used Air Quality Index (AQI) has been criticized for failing to accurately represent the non-threshold linear relationship between air pollution and health outcomes. Although the Air Quality...

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Bibliographic Details
Main Authors: Lei Zhang, Yuanyuan Chen, Hang Dong, Di Wu, Sili Chen, Xin Li, Boheng Liang, Qiaoyuan Yang
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Ecotoxicology and Environmental Safety
Subjects:
Air quality health index
Air pollutant selection
Random Forest
Adaptive Lasso
Quantile-based G-Computation
Health risk prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S0147651324013630
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