NDLI: Discovery of association rules in Metabolic Syndrome related diseases

Content Provider	IEEE Xplore Digital Library
Author	Chien-Lung Chan Chien-Wei Chen Baw-Jhiune Liu
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci.&Eng., Yuan Ze Univ., Chungli (Baw-Jhiune Liu) \|\| Dept. of Inf. Manage., Yuan Ze Univ., Chungli (Chien-Lung Chan; Chien-Wei Chen)
Abstract	Since 1980, the hypertension and diabetes mellitus in metabolic syndrome have appeared in the top ten causes of death every year in Taiwan. This research aims to study metabolic syndrome related disease by using data mining technique, and to understand the strength of association between diabetes mellitus, hypertension and hyperlipidemia. The data of this research came from the National Health Insurance Research Database provided by the Bureau of National Health Insurance, Department of Health. It includes the diabetes mellitus patientspsilapsila health insurance record during 2003-2005 in Taiwan. We used association rules to find diseases patterns of metabolic syndrome related disease. Using data mining technique can find and confirm the relation between diseases. We found diabetes mellitus is related to oral diseases and blear eyes. We also found that patients with metabolic syndrome have higher connection with liver diseases than patients with diabetes mellitus.
Starting Page	856
Ending Page	862
File Size	270788
Page Count	7
File Format	PDF
ISBN	9781424418206
ISSN	10987576
DOI	10.1109/IJCNN.2008.4633898
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Diabetes Diseases Dentistry Hypertension Data mining Association rules Insurance Metabolic Syndrome Association Rules
Content Type	Text
Resource Type	Article

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