ANALYSIS AND EVALUATION OF TECHNIQUES FOR MYOCARDIAL INFARCTION BASED ON GENETIC ALGORITHM AND WEIGHT BY SVM

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HAMIDI HODJATOLLAH; DARAEI ATEFEH

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Journal Paper

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Journal: Journal of Information Systems and Telecommunication Year:2016 | Volume:4 | Issue:2 Page(s): 85-91

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Title

ANALYSIS AND EVALUATION OF TECHNIQUES FOR MYOCARDIAL INFARCTION BASED ON GENETIC ALGORITHM AND WEIGHT BY SVM

Author(s)

HAMIDI HODJATOLLAH | DARAEI ATEFEH | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORK

SEQUENTIAL MINIMAL OPTIMIZATION

REPTREE

KNOWLEDGE DISCOVERY IN DATABASES

MYOCARDIAL INFARCTION

Abstract

Although decreasing rate of death in developed countries because of MYOCARDIAL INFARCTION, it is turned to the leading cause of death in developing countries. Data mining approaches can be utilized to predict occurrence of MYOCARDIAL INFARCTION. Because of the side effects of using Angioplasty as main method for diagnosing MYOCARDIAL INFARCTION, presenting a method for diagnosing MI before occurrence seems really important. This study aim to investigate prediction models for MYOCARDIAL INFARCTION, by applying a feature selection model based on Wight by SVM and genetic algorithm. In our proposed method, for improving the performance of classification algorithm, a hybrid feature selection method is applied. At first stage of this method, the features are selected based on their weights, using weight by SVM. At second stage, the selected features, are given to genetic algorithm for final selection. After selecting appropriate features, eight classification methods, include SEQUENTIAL MINIMAL OPTIMIZATION, REPTREE, Multi-layer Perceptron, Random Forest, KNearest Neighbors and Bayesian Network, are applied to predict occurrence of MYOCARDIAL INFARCTION. Finally, the best accuracy of applied classification algorithms, have achieved by Multi-layer Perceptron and SEQUENTIAL MINIMAL OPTIMIZATION.

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APA: Copy

HAMIDI, HODJATOLLAH, & DARAEI, ATEFEH. (2016). ANALYSIS AND EVALUATION OF TECHNIQUES FOR MYOCARDIAL INFARCTION BASED ON GENETIC ALGORITHM AND WEIGHT BY SVM. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 4(2), 85-91. SID. https://sid.ir/paper/332709/en

Vancouver: Copy

HAMIDI HODJATOLLAH, DARAEI ATEFEH. ANALYSIS AND EVALUATION OF TECHNIQUES FOR MYOCARDIAL INFARCTION BASED ON GENETIC ALGORITHM AND WEIGHT BY SVM. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2016;4(2):85-91. Available from: https://sid.ir/paper/332709/en

IEEE: Copy

HODJATOLLAH HAMIDI, and ATEFEH DARAEI, “ANALYSIS AND EVALUATION OF TECHNIQUES FOR MYOCARDIAL INFARCTION BASED ON GENETIC ALGORITHM AND WEIGHT BY SVM,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 4, no. 2, pp. 85–91, 2016, [Online]. Available: https://sid.ir/paper/332709/en

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