Journal of Health & Medical Informatics

Mahmoudi I

Publications

• Research Article
  Comparing the Efficiency of Artificial Neural Network and Gene Expression Programming in Predicting Coronary Artery Disease
  Author(s): Moghaddasi H, Mahmoudi I and Sajadi SMoghaddasi H, Mahmoudi I and Sajadi S
  
  Background: Angiography, as the gold standard for the diagnosis of coronary artery disease, has made an attempt to predict coronary artery disease by comparing the efficiency of gene expression programming, as a new data mining technique, and artificial neural network, as a conventional technique. Besides, the study went further to present the results of feature selection based on stepwise backward elimination, classification and regression tree. Methods: The subjects were assessed for nine coronary artery disease risk factors to develop a prediction model for the disease. They included 13,288 patients who were chosen to undergo angiography for the diagnosis of coronary artery disease; from this sample, 4059 subjects were free from the disease while 9169 were suffering from it. Modeling was carried out based on gene expression programming and artificial neural network techniques. The .. Read More»
  DOI: 10.4172/2157-7420.1000250

  Abstract PDF