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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Bibliografiset tiedot
Julkaisussa:Environ Sci Technol
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2020
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Article
Linkit: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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