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