Study on prediction of high risk group of Type 2 diabetes based on Apriori algorithm
10.3969/J.ISSN.1672-8270.2015.01.014
- VernacularTitle:基于Apriori算法的高危人群2型糖尿病预测研究
- Author:
Zhe WEI
;
Qida YU
;
Mai XIN
- Publication Type:Journal Article
- Keywords:
Data mining;
Apriori algorithm;
Association rules;
Diabetes mellitus,type 2
- From:
China Medical Equipment
2015;(1):45-47
- CountryChina
- Language:Chinese
-
Abstract:
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.
