An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease

Digital Signal Processing - Tập 17 - Trang 702-710 - 2007
Kemal Polat1, Salih Güneş1
1Electrical and Electronics Engineering Department, Selcuk University, 42035 Konya, Turkey

Tài liệu tham khảo

http://www.fi.edu/biosci/healthy/diabetes.html, last accessed September 2006

Fayyad, 1996

Piatetsky-Shapiro, 1991

Michie, 1991, Methodologies from machine learning in data analysis and software, Comp. J., 34, 559, 10.1093/comjnl/34.6.559

C.L. Blake, C.J. Merz, UJI Repository of Machine Learning Databases, 1996, http://www.ics.uci.edu/~mlearn/MLRepository.html

K. Kayaer, T. Yıldırım, Medical diagnosis on Pima Indian diabetes using general regression neural networks, in: Artificial Neural Networks and Neural Information Processing (ICANN/ICONIP), Istanbul, Turkey, June 26–29, 2003, pp. 181–184

Wang, 2003, Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition, J. Pattern Recogn. Soc., 36, 2429, 10.1016/S0031-3203(03)00044-X

Jang, 1992, Self-learning fuzzy controllers based on temporal backpropagation, IEEE Trans. Neural Network, 3, 714, 10.1109/72.159060

R. Kohavi, F. Provost, Glossary of terms, Editorial for the Special Issue on Applications of Machine Learning and the Knowledge Discovery Process, vol. 30, no. 2–3, 1998

Jeff Schneider's home page, http://www.cs.cmu.edu/~schneide/tut5/node42.html, last accessed September 2006

Datasets used for classification comparison of results, http://www.phys.uni.torun.pl/kmk/projects/datasets.html