The Research on Analyzing Risk Factors of Type 2 Diabetes Mellitus Based on Improved Frequent Pattern Tree Algorithm

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	The Research on Analyzing Risk Factors of Type 2 Diabetes Mellitus Based on Improved Frequent Pattern Tree Algorithm
	Wei Zhe 1,2; Ye Guangjian 2
	2015
关键词	data mining Apriori Algorithm Association rules FP-tree Algorithm
卷号	28
页码	459-463
英文摘要	Purpose: We do it to improve the low efficiency in analyzing risk factors of type 2 Diabetes Mellitus by Apriori Algorithm. Method: We use 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 find out that the improved FP-tree Algorithm analyzes risk factors of type 2 diabetes better. And we analyze the efficiency by programming improved FP-tree and Apriori Algorithm with C-#. Result: We can analyze the chart of time and number of records, time and support degree, main risk factors. Conclusion: The improved FP-tree Algorithm can be used to analyze the risk factors of Diabetes Mellitus and holds a higher efficiency.
会议录	PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING AND INFORMATION TECHNOLOGY APPLICATIONS
会议录出版者	ATLANTIS PRESS
会议录出版地	29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
语种	英语
WOS研究方向	Computer Science ; Materials Science
WOS记录号	WOS:000365117600083
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36547]
专题	兰州理工大学
通讯作者	Wei Zhe
作者单位	1.Lanzhou Mil Area Command, Lanzhou Gen Hosp, Lanzhou 730050, Gansu, Peoples R China 2.Lanzhou Univ Technol, Sch Elect Engn & Informat Engn, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Wei Zhe,Ye Guangjian. The Research on Analyzing Risk Factors of Type 2 Diabetes Mellitus Based on Improved Frequent Pattern Tree Algorithm[C]. 见:.