A New Expert System for Diabetes Disease Diagnosis Using Modified Spline Smooth Support Vector Machine

Author:

Purnami Santi Wulan,Zain Jasni Mohamad,Embong Abdullah

Publisher

Springer Berlin Heidelberg

Reference14 articles.

1. Medical News Today, http://www.medicalnewstoday.com/articles/44967.php

2. Huang, C.M., Lee, Y.J., Lin, D.K.J., Huang, S.Y.: Model Selection for Support Vector Machines via Uniform Design. A Special issue on Machine Learning and Robust Data Mining of Computational Statistics and Data Analysis 52, 335–346 (2007)

3. Hsu, C.W., Chang, C.C., Lin, C.J.: Practical Guide To Support Vector Classification. Department of Computer Science and Information Engineering National Taiwan University (2003), http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf

4. Kahramanli, H., Allahverdi, N.: Design of A Hybrid System for The Diabetes and Heart Diseases. Expert Systems with Applications 35, 82–89 (2008)

5. Kayaer, K., Yildirim, T.: Medical Diagnosis on Pima Indian Diabetes using General Regression Neural Networks. In: Proceedings of the International Conference on Artificial Neural Networks and Neural Information Processing, June 26-29, pp. 181–184. Springer, Istanbul (2003)

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