Machine learning to relate PM2.5 and PM10 concentrations to outpatient visits for upper respiratory tract infections in Taiwan: A nationwide analysis

AIM: To examine the accuracy of machine learning to relate particulate matter (PM) 2.5 and PM10 concentrations to upper respiratory tract infections (URIs). METHODS: Daily nationwide and regional outdoor PM2.5 and PM10 concentrations collected over 30 consecutive days obtained from the Taiwan Enviro...

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Detalles Bibliográficos
Autores principales: Chen, Mei-Juan, Yang, Pei-Hsuan, Hsieh, Mi-Tren, Yeh, Chia-Hung, Huang, Chih-Hsiang, Yang, Chieh-Ming, Lin, Gen-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2018
Materias:
Retrospective Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107525/
https://www.ncbi.nlm.nih.gov/pubmed/30148148
http://dx.doi.org/10.12998/wjcc.v6.i8.200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107525/
https://www.ncbi.nlm.nih.gov/pubmed/30148148
http://dx.doi.org/10.12998/wjcc.v6.i8.200

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