DocumentCode :
2580511
Title :
The optimum fuzzy logic approach for biomedical data classification
Author :
Polat, Övünç
Author_Institution :
Elektron. ve Haberlesme Muhendisligi Bolumu, Suleyman Demirel Univ., Isparta, Turkey
fYear :
2010
fDate :
21-24 April 2010
Firstpage :
1
Lastpage :
3
Abstract :
In this study, a fuzzy logic technique for classification of different biomedical dataset is optimized for improving performance. Threshold acceptance algorithm is used for optimization process. The proposed method is tested on heart data set and simulation results show that the optimized fuzzy logic approach provides higher classification accuracy compare with that of unoptimized fuzzy logic structure.
Keywords :
cardiology; fuzzy logic; medical administrative data processing; medical computing; biomedical data classification; heart data set; optimum fuzzy logic approach; threshold acceptance algorithm; Bioinformatics; Copyright protection; Digital images; Discrete cosine transforms; Frequency domain analysis; Fuzzy logic; Fuzzy neural networks; Humans; Robustness; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering Meeting (BIYOMUT), 2010 15th National
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-6380-0
Type :
conf
DOI :
10.1109/BIYOMUT.2010.5479731
Filename :
5479731
Link To Document :
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