基于支持向量机的计算机虹膜学心脏疾病检测

L. Permatasari, Astri Novianty, T. Purboyo
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引用次数: 10

摘要

基于虹膜学,人体虹膜可用于器官疾病的检测。目前,虹膜学诊断已经可以通过人工智能方法由计算机自动完成。本次研究的重点是在2 ~ 3点左右,以顺时针方向的左虹膜图为基础进行心脏诊断。主成分分析(PCA)用于特征提取,支持向量机(SVM)用于分类。实验结果表明,该分类方法的分类准确率最高可达80%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heart disorder detection based on computerized iridology using support vector machine
Human iris can be used for detecting organ disorders based on iridology science. Nowadays, iridology diagnosis can be done automatically by computer using artificial intelligence approach. This research focused on cardiac diagnosis based on left iris map on clockwise direction around 2:00 to 3:00. The Principal Component Analysis (PCA) is used for feature extraction while the Support Vector Machine (SVM) for classification. Experimental results showed that the highest accuracy of classification is 80% for the classification.
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