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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790419/
https://www.ncbi.nlm.nih.gov/pubmed/33411771
http://dx.doi.org/10.1371/journal.pone.0244233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790419/
https://www.ncbi.nlm.nih.gov/pubmed/33411771
http://dx.doi.org/10.1371/journal.pone.0244233

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