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

{"title":"使用基于逻辑相似度度量的医疗数据分类","authors":"K. Saastamoinen, J. Ketola","doi":"10.1109/ICCIS.2006.252362","DOIUrl":null,"url":null,"abstract":"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","PeriodicalId":296028,"journal":{"name":"2006 IEEE Conference on Cybernetics and Intelligent Systems","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Medical Data Classification using Logical Similarity Based Measures\",\"authors\":\"K. Saastamoinen, J. Ketola\",\"doi\":\"10.1109/ICCIS.2006.252362\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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\",\"PeriodicalId\":296028,\"journal\":{\"name\":\"2006 IEEE Conference on Cybernetics and Intelligent Systems\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Conference on Cybernetics and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2006.252362\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Conference on Cybernetics and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2006.252362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

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。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

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

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2006 IEEE Conference on Cybernetics and Intelligent Systems

自引率

0.00%

发文量

期刊最新文献

Multi-layer Control Strategy of Dynamics Control System of Vehicle A Fuzzy Multiple Critera Decision Making Method Gait Recognition Considering Directions of Walking Nonlinear Diffusion Driven by Local Features for Image Denoising Designing of an Adaptive Adcock Array and Reducing the Effects of Other Transmitters, Unwanted Reflections and Noise