Long-term PM(2.5) exposure and the clinical application of machine learning for predicting incident atrial fibrillation

Clinical impact of fine particulate matter (PM(2.5)) air pollution on incident atrial fibrillation (AF) had not been well studied. We used integrated machine learning (ML) to build several incident AF prediction models that include average hourly measurements of PM(2.5) for the 432,587 subjects of K...

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Detalles Bibliográficos
Autores principales: Kim, In-Soo, Yang, Pil-Sung, Jang, Eunsun, Jung, Hyunjean, You, Seng Chan, Yu, Hee Tae, Kim, Tae-Hoon, Uhm, Jae-Sun, Pak, Hui-Nam, Lee, Moon-Hyoung, Kim, Jong-Youn, Joung, Boyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530980/
https://www.ncbi.nlm.nih.gov/pubmed/33004983
http://dx.doi.org/10.1038/s41598-020-73537-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530980/
https://www.ncbi.nlm.nih.gov/pubmed/33004983
http://dx.doi.org/10.1038/s41598-020-73537-8

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