Socioeconomic inequality of cancer mortality in the United States: a spatial data mining approach.
Socioeconomic inequality of cancer mortality in the United States: a spatial data mining approach.
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DOI：
10.1186/1476-072x-5-9
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发表时间：
2006-02-15
影响因子：
4.9
通讯作者：
Lam NS
中科院分区：
文献类型：
--
作者：
Vinnakota S;Lam NS
本研究的目的是展示使用关联规则挖掘方法来发现选定的社会经济变量与美国癌症死亡的四个主要原因之间的关联。应用关联规则挖掘算法来提取在卫生服务区级别定义的 1988-1992 年结直肠癌、肺癌、乳腺癌和前列腺癌的癌症死亡率与 1990 年美国人口普查中选定的社会经济变量之间的关联。利用地理信息系统技术来整合这些在不同空间分辨率下定义的数据，并对关联规则挖掘过程的结果进行可视化和分析。研究发现，低教育率、高失业率和低薪工作的卫生服务区与较高的癌症死亡率相关。利用地理信息技术进行关联规则挖掘有助于揭示美国癌症死亡率社会经济不平等的空间模式，并确定需要进一步关注的区域。
The objective of this study was to demonstrate the use of an association rule mining approach to discover associations between selected socioeconomic variables and the four most leading causes of cancer mortality in the United States. An association rule mining algorithm was applied to extract associations between the 1988–1992 cancer mortality rates for colorectal, lung, breast, and prostate cancers defined at the Health Service Area level and selected socioeconomic variables from the 1990 United States census. Geographic information system technology was used to integrate these data which were defined at different spatial resolutions, and to visualize and analyze the results from the association rule mining process. Health Service Areas with high rates of low education, high unemployment, and low paying jobs were found to associate with higher rates of cancer mortality. Association rule mining with geographic information technology helps reveal the spatial patterns of socioeconomic inequality in cancer mortality in the United States and identify regions that need further attention.