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Constrained Mixed-Effect Models with Ensemble Learning for Prediction of Nitrogen Oxides Concentrations at High Spatiotemporal Resolution.
Li, Lianfa; Lurmann, Fred; Habre, Rima; Urman, Robert; Rappaport, Edward; Ritz, Beate; Chen, Jiu-Chiuan; Gilliland, Frank D; Wu, Jun.
Afiliação
  • Li L; Department of Preventive Medicine, University of Southern California , Los Angeles, California 90033, United States.
  • Lurmann F; State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences , Beijing, China.
  • Habre R; Sonoma Technology, Inc., Petaluma, California 94954, United States.
  • Urman R; Department of Preventive Medicine, University of Southern California , Los Angeles, California 90033, United States.
  • Rappaport E; Department of Preventive Medicine, University of Southern California , Los Angeles, California 90033, United States.
  • Ritz B; Department of Preventive Medicine, University of Southern California , Los Angeles, California 90033, United States.
  • Chen JC; Department of Epidemiology, University of California , Los Angeles, California 90095, United States.
  • Gilliland FD; Department of Preventive Medicine, University of Southern California , Los Angeles, California 90033, United States.
  • Wu J; Department of Preventive Medicine, University of Southern California , Los Angeles, California 90033, United States.
Environ Sci Technol ; 51(17): 9920-9929, 2017 Sep 05.
Article em En | MEDLINE | ID: mdl-28727456
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Poluentes Atmosféricos / Óxidos de Nitrogênio Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Poluentes Atmosféricos / Óxidos de Nitrogênio Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article