Feature Analysis of Coronary Artery Heart Disease Data Sets

• DOI: 10.1016/j.procs.2015.09.132
• Publication Date: 2015-10-09T16:03:57Z
• Authors: Randa El-Bialy; Mostafa A. Salamay; Omar H. Karam; M. Essam Khalifa
• Keywords: Data set; Tree (set theory); Feature (linguistics)

Data sets dealing with the same medical problems like Coronary artery disease (CAD) may show different results when applying machine learning technique. The classification accuracy and selected important features are based mainly on efficiency of diagnosis analysis. aim this work is to apply an integration analysis applied data targeting CAD disease. This will avoid missing, incorrect, inconsistent that appear in collection. Fast decision tree pruned C4.5 where resulted trees extracted from compared. Common among these used later for any set. collected dataset 78.06% higher than average all separate datasets which 75.48%.