System Diagnosis of Coronary Heart Disease Using a Combination of Dimensional Reduction and Data Mining Techniques: A Review

摘要: Coronary heart disease is a with the highest mortality rates in world. This makes development of diagnostic system as very interesting topic field biomedical informatics, aiming to detect whether normal or not. In literature there are models by combining dimension reduction and data mining techniques. Unfortunately, no review papers that discuss analyze themes date. study reviews articles within period 2009-2016, focus on methods techniques, validated using dataset UCI repository. Methods use feature selection extraction while techniques include classification, prediction, clustering, association rules.