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

Journal: Computational and mathematical methods in medicine
PMID: 27022406

Abstract

BACKGROUND: Chronic kidney disease (CKD) is a covert disease. Accurate prediction of CKD progression over time is necessary for reducing its costs and mortality rates. The present study proposes an adaptive neurofuzzy inference system (ANFIS) for predicting the renal failure timeframe of CKD based on real clinical data.

Authors

  • Jamshid Norouzi
    Department of Environmental and Energy, Islamic Azad University, Science and Research Branch, Tehran, Iran.
  • Ali Yadollahpour
    Department of Medical Physics, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz 61357-33118, Iran.
  • Seyed Ahmad Mirbagheri
    Department of Civil and Environmental Engineering, K. N. Toosi University of Technology, Tehran, Iran.
  • Mitra Mahdavi Mazdeh
    Iranian Tissue Bank & Research Center, Tehran University of Medical Sciences, Tehran, Iran.
  • Seyed Ahmad Hosseini
    Nutrition and Metabolic Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz 61357-33118, Iran.

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