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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發表在:Environ Sci Technol
Main Authors: 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
格式: Artigo
語言:Inglês
出版: 2020
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Article
在線閱讀: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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