Analysis of correlation between pediatric asthma exacerbation and exposure to pollutant mixtures with association rule mining

作者：

Highlights：

• A modified association rule mining (ARM) algorithm for odds ratio estimate in case-control studies in epidemiology is proposed.

• The method can be used to analyze risk variations caused by single and multiple simultaneous exposures.

• The method is reliable, interpretable, and requires fewer assumptions on the data and less human intervention than parametric approaches.

• The algorithm was used to study the effects of outdoor pollution on asthma.

• Suspected danger of exposure to single and multiple chemicals has been confirmed.

摘要

•A modified association rule mining (ARM) algorithm for odds ratio estimate in case-control studies in epidemiology is proposed.•The method can be used to analyze risk variations caused by single and multiple simultaneous exposures.•The method is reliable, interpretable, and requires fewer assumptions on the data and less human intervention than parametric approaches.•The algorithm was used to study the effects of outdoor pollution on asthma.•Suspected danger of exposure to single and multiple chemicals has been confirmed.

论文关键词：Association rule mining,Rule redundancy,Risk assessment,Multiple exposures,Pediatric asthma,Outdoor pollution

论文评审过程：Received 11 December 2015, Revised 22 November 2016, Accepted 23 November 2016, Available online 25 November 2016, Version of Record 30 November 2016.

论文官网地址：https://doi.org/10.1016/j.artmed.2016.11.003