Title :
Discovery of association rules in Metabolic Syndrome related diseases
Author :
Chan, Chien-Lung ; Chen, Chien-Wei ; Liu, Baw-Jhiune
Author_Institution :
Dept. of Inf. Manage., Yuan Ze Univ., Chungli
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.
Keywords :
data mining; diseases; medical information systems; National Health Insurance Research Database; association rules; data mining technique; diabetes mellitus; hyperlipidemia; metabolic syndrome related diseases; oral diseases; patients health insurance record; Association rules; Blood; Cardiac disease; Cardiovascular diseases; Data mining; Databases; Diabetes; Hypertension; Insurance; Liver diseases; Association Rules; Metabolic Syndrome;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4633898