Development of a Random Forest model for forecasting allergenic pollen in North America.

Lo, Fiona; Bitz, Cecilia M; Hess, Jeremy J

Lo, Fiona; Bitz, Cecilia M; Hess, Jeremy J.

Afiliação

Lo F; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, United States of America. Electronic address: fionalo@uw.edu.
Bitz CM; Department of Atmospheric Sciences, College of the Environment, University of Washington, United States of America.
Hess JJ; Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, United States of America; Department of Emergency Medicine, School of Medicine, University of Washington, United States of America; Department of Global Health, Schools of Medicine and Public Health, University of Washington, United States of America.

Sci Total Environ ; 773: 145590, 2021 Jun 15.

Article em En | MEDLINE | ID: mdl-33940736

Assuntos

Alérgenos; Pólen; Canadá; Cidades; América do Norte; Estudos Retrospectivos

Palavras-chave

Allergy; Hay fever; Machine learning; Prediction; Weather

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pólen / Alérgenos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies País/Região como assunto: America do norte Idioma: En Revista: Sci Total Environ Ano de publicação: 2021 Tipo de documento: Article País de publicação: Holanda

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