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Computational and Mathematical Methods in Medicine
Volume 2016, Article ID 6080814, 9 pages
http://dx.doi.org/10.1155/2016/6080814
Research Article

Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System

1Department of Environmental and Energy, Islamic Azad University, Science and Research Branch, Tehran, Iran
2Department of Medical Physics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz 61357-33118, Iran
3Department of Civil and Environmental Engineering, K. N. Toosi University of Technology, Tehran, Iran
4Iranian Tissue Bank & Research Center, Tehran University of Medical Sciences, Tehran, Iran
5Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz 61357-33118, Iran

Received 12 October 2015; Accepted 13 December 2015

Academic Editor: Ezequiel López-Rubio

Copyright © 2016 Jamshid Norouzi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jamshid Norouzi, Ali Yadollahpour, Seyed Ahmad Mirbagheri, Mitra Mahdavi Mazdeh, and Seyed Ahmad Hosseini, “Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System,” Computational and Mathematical Methods in Medicine, vol. 2016, Article ID 6080814, 9 pages, 2016. https://doi.org/10.1155/2016/6080814.