A Data Mining Method on the Study of Medical Information

摘要：

For a long time, the cause of diabetes has been an unsolved problem. And with the deepening of diabetes research, much information has been collected. There may contain lots of interesting information within the collected medical information. But, the traditional medical methods can only study the human organ from the microscopic view, and lack of the capability of process large medical data set. So, in this paper, an data mining method is introduced to provide a new way to find the diabetes etiology.

关键词： data mining apriori algorithm diabetes medical data

作者: Xiaofeng Zhao Liyan Jiao Jinping An Li Wang Lipin Jia

作者单位: School of Economics and Management Hebei University of Engineering Handan, China Affiliated hospital Hebei University of Engineering Handan, China Medical School Hebei University of Engineering Handan, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 183-186

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）