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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Gepubliceerd in:Environ Sci Technol
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2020
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Article
Online toegang: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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