基于Apriori算法的高危人群2型糖尿病预测研究

摘要

目的：利用数据挖掘中的关联规则，为及早地在高危人群中发现和预防糖尿病。方法：选择兰州某大型三甲医院的323例2型糖尿病及IFG、IGT患者的首次病程记录，采用Apriori算法和SPSS Clementine 12软件设计，建立2型糖尿病的预测模型。结果：共形成10条强关联规则，其中蕴含着与2型糖尿病相关的一些因素之间的关联关系。结论：通过这些关联规则以实现对糖尿病高危人群简便而准确的初判断。%Objective: To discover and prevent diabetes early in high-risk group. Methods:Chose 323 records of type 2 diabetes or IFG,IGT patients with first course which come from a large hospital in Lanzhou between 2009 January to 2014 March; Use Apriori algorithm and the SPSS Clementine 12 software design;Set up prediction model of type 2 diabetes. Results:A total of 10 strong association rules are formed. The strong association rules contain some associations between factors and type 2 diabetes. Conclusion: Through the association rules, the initial judgment on the high-risk group of diabetes is simple and accurate.