Title :
The optimum fuzzy logic approach for biomedical data classification
Author_Institution :
Elektron. ve Haberlesme Muhendisligi Bolumu, Suleyman Demirel Univ., Isparta, Turkey
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;
Conference_Titel :
Biomedical Engineering Meeting (BIYOMUT), 2010 15th National
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-6380-0
DOI :
10.1109/BIYOMUT.2010.5479731