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http://dx.doi.org/10.12672/ksis.2012.20.6.023

Exploring Multidimensional Public Health Data Using Self Organizing Map and GIS  

Sohn, Chul (Dept. of Urban Planning and Real Estate, Gangneung-Wonju National University)
Publication Information
Spatial Information Research / v.20, no.6, 2012 , pp. 23-32 More about this Journal
Abstract
This study applied an exploratory analysis based on Self Organizing Map and GIS to cause specific age-standardized regional death rates data related to ten types of male cancers to find meaning patterns in the data. Then the patterns revealed from the exploratory analysis was evaluated to investigate possible relationship between these patterns and regional socio-economic status represented by regional educational attainment levels of head of household. The results from this analysis show that SI-GUN-GUs in Korea can be clustered to eighteen unique clusters in the stand point of male cancer death rates and these clusters are also spatially clustered. Also, the results reveal that regions with higher socio-economic status show lower level of the death rates compared with the regions with lower socio-economic status. However, for some cancer types, the regions with higher socio-economic status show relatively higher death rates. These patterns imply that the prevention, detection, and treatment of male cancers might be strongly affected by regional factors such as socio-economic status, environmental factors, and cultures and norms in Korea. Especially, one of the eighteen clusters, which includes Gangnam-Gu and Seocho-Gu, shows lower death rates in many of male cancer types. This implies that socio-economic status may be one of the most influential factors for regional cancer control.
Keywords
Male Cancer Death Rates; Self Organizing Map; GIS;
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Times Cited By KSCI : 4  (Citation Analysis)
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