心脏病分类的比较研究

2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT) Pub Date : 2017-04-01 DOI:10.1109/EBBT.2017.7956761

Simge Ekiz, P. Erdoğmuş

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引用次数: 31

摘要

本文的目的是比较两个重要的机器学习平台对同一数据集的结果。为此，我们分别在Matlab©和WEKA©环境下，使用六种不同的算法对心脏病进行分类实验。采用线性支持向量机、二次支持向量机、三次支持向量机、中高斯支持向量机、决策树和集合子空间判别机器学习方法对心脏病进行分类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Comparative study of heart disease classification

The aim of this paper is to compare two important machine learning platform results for the same dataset. With this aim, we conducted an experiment to classify heart disease both in Matlab© environment and WEKA©, by using six different algorithms. Linear SVM, Quadratic SVM, Cubic SVM, Medium Gaussian SVM, Decision Tree and Ensemble Subspace Discriminant machine learning approaches are used for classifying the heart disease.

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2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT)

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