Assessing NO(2) Concentration and Model Uncertainty with High Spatiotemporal Resolution across the Contiguous United States Using Ensemble Model Averaging

NO(2) is a combustion byproduct that has been associated with multiple adverse health outcomes. To assess NO(2) level with high accuracy, we propose an ensemble model to integrate multiple machine learning algorithms, including neural network, random forest, and gradient boosting, with a variety of...

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Pubblicato in:Environ Sci Technol
Autori principali: Di, Qian, Amini, Heresh, Shi, Liuhua, Kloog, Itai, Silvern, Rachel, Kelly, James, Sabath, M. Benjamin, Choirat, Christine, Koutrakis, Petros, Lyapustin, Alexei, Wang, Yujie, Mickley, Loretta J., Schwartz, Joel
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2020
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7065654/
https://ncbi.nlm.nih.gov/pubmed/31851499
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acs.est.9b03358
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