K-means cluster analysis of cooperative effects of CO, NO₂, O₃, PM_2.5, PM₁₀, and SO₂ on incidence of type 2 diabetes mellitus in the US.

ABSTRACT: Air pollution (AP) has been shown to increase the risk of type 2 diabetes mellitus, as well as other cardiometabolic diseases. AP is characterized by a complex mixture of components for which the composition depends on sources and metrological factors. The US Environmental Protection Agency (EPA) monitors and regulates certain components of air pollution known to have negative consequences for human health. Research assessing the health effects of these components of AP often uses traditional regression models, which might not capture more complex and interdependent relationships. Machine learning has the capability to simultaneously assess multiple components and find complex, non-linear patterns that may not be apparent and could not be modeled by other techniques. Here we use k-means cl

SUBMITTER: Riches NO 

PROVIDER: S-EPMC9413686 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature