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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Veröffentlicht in:PLoS One
Hauptverfasser: Bae, Wan D., Kim, Sungroul, Park, Choon-Sik, Alkobaisi, Shayma, Lee, Jongwon, Seo, Wonseok, Park, Jong Sook, Park, Sujung, Lee, Sangwoon, Lee, Jong Wook
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2021
Schlagworte:
Research Article
Online Zugang: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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