Algoritmos genéticos aplicados a la optimización de características en la clasificación de arritmias cardiacas utilizando los clasificadores KNN y naive Bayes

Abstract

Many deaths in the world happen as a result of cardiovascular diseases. The proposed method combines metaheuristic – Genetic Algorithms (AG) – and the KNN and Naive Bayes classifiers. The tests were performed through a database of the Massachusetts Institute of Technology-Beth Israel Hospital (MIT-BIH) [1]. Metaheuristics are implemented to improve the performance of classifiers. Experimental results show that up to 94 % accuracy is achieved in the classification.