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

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Bae, Wan D.; Kim, Sungroul; Park, Choon-Sik; Alkobaisi, Shayma; Lee, Jongwon; Seo, Wonseok; Park, Jong Sook; Park, Sujung; Lee, Sangwoon; Lee, Jong Wook
Titel:: 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
Zeitschriftentitel:: PLOS ONE
Jahr:: 2021
Band / Volume:: 16
Heft / Issue:: 1
Seitenangaben Beitrag:: e0244233
Volltext / DOI:: doi:10.1371/journal.pone.0244233
Verlag / Institution:: Public Library of Science (PLoS)
E-ISSN:: 1932-6203
Publikationsdatum:: 07.01.2021
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