Season and weather factors matter, but not enough: a machine learning-based study on predicting incremental lifetime cancer risk of polycyclic aromatic hydrocarbons.
With the intensification of urbanization, air pollution has garnered global concern. This study aims to predict the incremental lifetime cancer risk (ILCR) of polycyclic aromatic hydrocarbons (PAHs) in atmospheric PM2.5. Utilizing machine learning regression algorithms and data from six cities in Ji...
| Publicado en: | International Journal of Environmental Health Research Vol. 35; no. 10; pp. 3006 - 3018 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Oct2025
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| Acceso en línea: | Ver este registro en EBSCOhost |