Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4942252 | Artificial Intelligence in Medicine | 2016 | 9 Pages |
Abstract
The proposed method can be used to analyze risk variations caused by single and multiple exposures. The method is reliable and requires fewer assumptions on the data than parametric approaches. Rules including more than one pollutant highlight interactions that deserve further investigation, while helping to limit the search field.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Giulia Toti, Ricardo Vilalta, Peggy Lindner, Barry Lefer, Charles Macias, Daniel Price,