Analysis for risk factors of type 2 diabetes mellitus based on FP-growth algorithm
10.3969/J.ISSN.1672-8270.2016.05.015
- VernacularTitle:基于频繁模式增长算法的2型糖尿病患病风险预测的分析研究
- Author:
Zhe WEI
;
Guangjian YE
;
Nengcai WANG
- Publication Type:Journal Article
- Keywords:
Data mining;
Apriori algorithm;
Association rules;
FP-growth algorithm;
Risk analysis;
Diabetes mellitus
- From:
China Medical Equipment
2016;13(5):45-47,48
- CountryChina
- Language:Chinese
-
Abstract:
Objective:We do it to solve the problem of low efficiency in analyzing risk factors of type 2 diabetes mellitus by Apriori Algorithm.Methods: We used the patients’ data from the information department of one tertiary referral hospital in Lanzhou which include course note of disease and their health record form January 2009 to March 2014.We found out that the FP-growth algorithm analyzes risk factors of type 2 diabetes better. And we analyzed the efficiency by programming FP-growth and Apriori algorithm with C#.Results: We can analyze the run time and recorded data, time and support degree.Conclusion:The FP-growth algorithm has a higher efficiency in analyzing risk factors of type 2 diabetes mellitus.
