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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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: Bae, Wan D., Kim, Sungroul, Park, Choon-Sik, Alkobaisi, Shayma, Lee, Jongwon, Seo, Wonseok, Park, Jong Sook, Park, Sujung, Lee, Sangwoon, Lee, Jong Wook
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2021
Konular:
Research Article
Online Erişim: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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