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Improving The Accuracy Of KNN Classifier For Heart Attack Using Genetic Algorithm | ||
| journal of kerbala university | ||
| Article 1, Volume 9, Issue 3, 2013, Pages 116-125 PDF (0 K) | ||
| Author | ||
| Noor Kadhim Ayoob | ||
| Abstract | ||
| The automatic diagnosis of the diseases using the computer is a fertile field for many researchers who are trying to design systems that help to reduce the mistakes made by inexperienced doctors or because of the influence of the pressures of life .This search deals with the use of (KNN) to diagnose the heart attack and then propose to improve the performance of KNN by using the genetic algorithm to control the basic joints of this method through determining the value of K, database segmentation, in addition to the reducing of the features. The proposed system has succeeded in increasing the accuracy of diagnosis from 75% to 100 %. Keywords: K nearest, Genetic Algorithm, heart attack, automatic diagnosis. | ||
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