Abstract
It is widely accepted that some air pollutants are related to lung cancer prevalence. An effective method is proposed to quantitatively evaluate the effects of air pollutants and the interactions between them. The method consisted of three parts: data decomposition, comparable data generation and relationship inference. Firstly, very limited monitoring data published by Geographic Information System were applied to calculate the inhalable air pollution of relatively massive patient samples. Then the investigated area was partitioned into a number of districts, and the comparable data containing air pollutant concentrations and lung cancer prevalence in all districts were generated. Finally, the relationships between pollutants and lung cancer prevalence were concluded by an information fusion tool: Choquet integral. As an example, the proposed method was applied in the investigation of air pollution in Tianjin, China. Overall, SO2, O3 and PM2.5 were the top three factors for lung cancer. And there was obvious positive interaction between O3 and PM2.5 and negative interaction among SO2, O3 and PM10. The effect of SO2 on men was larger than on women. O3 and SO2 were the most important factors for the adenocarcinoma and squamous c...Continue Reading
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