使用基于逻辑相似度度量的医疗数据分类

2006 IEEE Conference on Cybernetics and Intelligent Systems Pub Date : 2006-06-07 DOI:10.1109/ICCIS.2006.252362

K. Saastamoinen, J. Ketola

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引用次数: 23

摘要

在本文中，我们研究了在一些已知的医学数据的分类中使用逻辑相似度量可以建立什么样的结果。检测肝脏疾病、甲状腺、糖尿病和乳腺癌的新方法。我们将我们的结果与一些已知的结果进行了比较，并表明这些逻辑比较措施能够给出更好的结果

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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Medical Data Classification using Logical Similarity Based Measures

In this article we study what kind of results can be established using logical similarity measures in classification of some well-known medical data. New approach for the detection of liver disorders, thyroid, diabetes and breast cancer. We compare our results to some known results and show that these logical comparison measures are able to give better results

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来源期刊

2006 IEEE Conference on Cybernetics and Intelligent Systems

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