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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Foilsithe in:Sci Rep
Main Authors: 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
Formáid: Artigo
Teanga:Inglês
Foilsithe: Nature Publishing Group UK 2020
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Article
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7530980/
https://ncbi.nlm.nih.gov/pubmed/33004983
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-73537-8
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