Performance improvement of machine learning techniques predicting the association of exacerbation of peak expiratory flow ratio with short term exposure level to indoor air quality using adult asthmatics clustered data

Large-scale data sources, remote sensing technologies, and superior computing power have tremendously benefitted to environmental health study. Recently, various machine-learning algorithms were introduced to provide mechanistic insights about the heterogeneity of clustered data pertaining to the sy...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Bae, Wan D., Kim, Sungroul, Park, Choon-Sik, Alkobaisi, Shayma, Lee, Jongwon, Seo, Wonseok, Park, Jong Sook, Park, Sujung, Lee, Sangwoon, Lee, Jong Wook
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2021
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7790419/
https://ncbi.nlm.nih.gov/pubmed/33411771
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0244233
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