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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Gepubliceerd in:PLoS One
Hoofdauteurs: Bae, Wan D., Kim, Sungroul, Park, Choon-Sik, Alkobaisi, Shayma, Lee, Jongwon, Seo, Wonseok, Park, Jong Sook, Park, Sujung, Lee, Sangwoon, Lee, Jong Wook
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Public Library of Science 2021
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Research Article
Online toegang: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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