GIS/data Mining Applied For IdentificationOf Environmental Risk Factors For Diseases

This study has tried to identify environmental risk factors for respiratory system diseases in Tokyo metropolitan area using GIS and data mining. GIS were applied to the analysis of spatial relationships between the distribution of the diseases and SPM exposure levels and distances from the national roads as environmental factors. A CART model as a data mining tool was applied for assessment of habitat types where there was a potential risk of the incidence of the diseases with the databases obtained from GIS analysis while identifying environmental risk factor levels concerned with the incidence of the diseases. Another purpose of this study was to provide a comprehensive outline of the methods of data mining, which have wide applications in a GIS and other areas where spatial data are used, whilst indicating its strengths and weaknesses, how and when to apply the methods and their role when used.