Association rule analysis for the assessment of the risk of coronary heart events
作者： M. Karaolis , J.A. Moutiris , L. Papaconstantinou , C.S. Pattichis
DOI: 10.1109/IEMBS.2009.5334656
关键词:
摘要: Although significant progress has been made in the diagnosis and treatment of coronary heart disease (CHD), further investigation is still needed. The objective this study was to develop a data mining system using association analysis based on apriori algorithm for assessment event related risk factors. events investigated were: myocardial infarction (MI), percutaneous intervention (PCI), artery bypass graft surgery (CABG). A total 369 cases were collected from Paphos CHD Survey, most them with more than one event. important factors, as extracted rule sex (male), smoking, high density lipoprotein, glucose, family history, history hypertension. Most these factors also by our group previous C4.5 decision tree algorithms, other investigators. Further larger sets needed verify findings.
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