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:: Volume 4, Issue 3 (2-2015) ::
JGST 2015, 4(3): 117-130 Back to browse issues page
Investigating the Relation between Prevalence of Asthmatic Allergy with the Characteristics of the Environment Using Fuzzy Association Rule Mining
F. Karimipour, Y. Kananisadat *
Abstract:   (5040 Views)
The prevalence of allergic diseases has highly increased in recent decades due to contamination of the environment with the allergy stimuli. A common treat is identifying the allergy stimulus and, then, avoiding the patient to be exposed with it. There are, however, many unknown allergic diseases stimuli that are related to the characteristics of the living environment. In this article, we focus on the effect of air pollution on asthmatic allergies and investigate the association between prevalence of such allergies with those characteristics of the environment that may affect the air pollution. For this, spatial association rule mining has been deployed to mine the association between spatial distribution of allergy prevalence and the air pollution parameters such as CO, SO2, NO2, PM10, PM2.5, and O3 (compiled by the air pollution monitoring stations) as well as living distance to parks and roads. The dimensions have been defined as fuzzy sets in order to handle the data uncertainty. The results for the case study (i.e., Tehran metropolitan area) indicates that distance to parks and roads as well as CO, NO2, PM10, and PM2.5 is related to the allergy prevalence, while SO2 and O3 have no effect on that.
Keywords: Fuzzy Spatial Association Rule Mining, Asthmatic Allergy, Air Pollution, Apriori
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Type of Study: Research | Subject: GIS
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F. Karimipour, Y. Kananisadat. Investigating the Relation between Prevalence of Asthmatic Allergy with the Characteristics of the Environment Using Fuzzy Association Rule Mining. JGST. 2015; 4 (3) :117-130
URL: http://jgst.issge.ir/article-1-95-en.html


Volume 4, Issue 3 (2-2015) Back to browse issues page
نشریه علمی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology