DocumentCode :
2335161
Title :
Mining constrained association rules to predict heart disease
Author :
Ordonez, Carlos ; Omiecinski, Edward ; De Braal, Levien ; Santana, Cesar A. ; Ezquerra, Norberto ; Taboada, Jose A. ; Cooke, David ; Krawczynska, Elizabeth ; Garcia, Ernest V.
Author_Institution :
Coll. of Comput., Georgia Ins. of Technol., GA, USA
fYear :
2001
fDate :
2001
Firstpage :
433
Lastpage :
440
Abstract :
This work describes our experiences in discovering association rules in medical data to predict heart disease. We focus on two aspects of this work: mapping medical data to a transaction format suitable for mining association rules, and identifying useful constraints. Based on these aspects we introduce an improved algorithm to discover constrained association rules. We present an experimental section explaining several interesting discovered rules
Keywords :
cardiology; data mining; diseases; medical computing; medical information systems; transaction processing; constrained association rule mining; heart disease prediction; medical data; transaction format; Association rules; Biomedical imaging; Cardiac disease; Classification tree analysis; Data analysis; Data mining; Diagnostic expert systems; Educational institutions; Medical diagnostic imaging; Regression tree analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining, 2001. ICDM 2001, Proceedings IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
0-7695-1119-8
Type :
conf
DOI :
10.1109/ICDM.2001.989549
Filename :
989549
Link To Document :
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