Clinical decision support system to predict chronic kidney disease: A fuzzy expert system approach.

Journal: International journal of medical informatics
Published Date: Mar 30, 2020

Abstract

BACKGROUND AND OBJECTIVES: Diagnosis and early intervention of chronic kidney disease are essential to prevent loss of kidney function and a large amount of financial resources. To this end, we developed a fuzzy logic-based expert system for diagnosis and prediction of chronic kidney disease and evaluate its robustness against noisy data.

Authors

  • Farahnaz Hamedan
    School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran.
  • Azam Orooji
    Ph.D. Candidate of Medical Informatics, Department of Health Information Management and Technology, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
  • Houshang Sanadgol
    School of Medicine, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran.
  • Abbas Sheikhtaheri
    Health Management and Economics Research Center, Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran. Electronic address: sheikhtaheri.a@iums.ac.ir.

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