title: Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm.
abstract: Cardiovascular disease is one of the most rampant causes of death around the world and was deemed as a major illness in Middle and Old ages. Coronary artery disease, in particular, is a widespread cardiovascular malady entailing high mortality rates. Angiography is, more often than not, regarded as the best method for the diagnosis of coronary artery disease; on the other hand, it is associated with high costs and major side effects. Much research has, therefore, been conducted using machine learning and data mining so as to seek alternative modalities. Accordingly, we herein propose a highly accurate hybrid method for the diagnosis of coronary artery disease. As a matter of fact, the proposed method is able to increase the performance of neural network by approximately 10% through enhancing its initial weights using genetic algorithm which suggests better weights for neural network. Making use of such methodology, we achieved accuracy, sensitivity and specificity rates of 93.85%, 97% and 92% respectively, on Z-Alizadeh Sani dataset.
authors.affiliation: Department of Computer Engineering, University of Bojnord, Bojnord, Iran.
authors.forename: Zeinab
authors.initials: Z
authors.lastname: Arabasadi
authors.affiliation: Department of Computer Engineering, Sharif University of Technology, Azadi Ave, Tehran, Iran. Electronic address: alizadeh_roohallah@yahoo.com.
authors.forename: Roohallah
authors.initials: R
authors.lastname: Alizadehsani
authors.affiliation: Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran.
authors.forename: Mohamad
authors.initials: M
authors.lastname: Roshanzamir
authors.affiliation: Department of Mathematics, Faculty of Science, University of Bojnord, Iran.
authors.forename: Hossein
authors.initials: H
authors.lastname: Moosaei
authors.affiliation: Department of Computer Engineering, University of Bojnord, Bojnord, Iran.
authors.forename: Ali Asghar
authors.initials: AA
authors.lastname: Yarifard
mesh_terms: D000465:Algorithms; D003657:Decision Making; D006331:Heart Diseases / Q000175:diagnosis* / Q000235:genetics; D006801:Humans; D016571:Neural Networks, Computer; D060388:Support Vector Machine
keywords: Cardiovascular disease; Coronary artery disease; Genetic algorithm; Neural network