A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method

Heart disease is one of the most common diseases in the world. The objective of this study is to aid the diagnosis of heart disease using a hybrid classification system based on the ReliefF and Rough Set (RFRS) method. The proposed system contains two subsystems: the RFRS feature selection system an...

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Veröffentlicht in:	Computational and mathematical methods in medicine 2017-01, Vol.2017 (2017), p.1-11
Hauptverfasser:	Wang, Qian, Zhu, Yanhong, Zhang, Mo, Su, Qiang, Wang, Xiaoli, Liu, Xiao, Wang, Qiugen
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Cardiology - instrumentation Cardiology - methods Databases, Factual Heart - physiology Heart Diseases - diagnostic imaging Heart Diseases - physiopathology Humans Machine Learning Reproducibility of Results ROC Curve Sensitivity and Specificity Software
Online-Zugang:	Volltext
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