Title :
Medical Data Classification using Logical Similarity Based Measures
Author :
Saastamoinen, Kalle ; Ketola, Jaakko
Author_Institution :
Dept. of Inf. Technol., Lappeenranta Univ. of Technol.
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
Keywords :
classification; fuzzy logic; medical computing; breast cancer detection; diabetes disorder detection; liver disorder detection; logical similarity based measures; medical data classification; thyroid disorder detection; Breast cancer; Cancer detection; Data mining; Diabetes; Fuzzy sets; Information technology; Laboratories; Liver diseases; Mathematics; Problem-solving; S-type equivalences; classification; comparison; medical data;
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
DOI :
10.1109/ICCIS.2006.252362
