Corpus ID: 6799835

An Expert System for Diabetes Diagnosis

  title={An Expert System for Diabetes Diagnosis},
  author={T. Zeki and M. V. Malakooti and Yousef Ataeipoor and S. T. Tabibi},
  journal={American academic & scholarly research journal},
  • T. Zeki, M. V. Malakooti, +1 author S. T. Tabibi
  • Published 2012
  • American academic & scholarly research journal
  • During the recent decades, using expert systems has been developed in a vast level in all sectors of human being life, in particular in the field of medicine. The main objective of this research was to design an expert system for diagnosis all types of diabetes. After data acquisition and designing a rule-based expert system, this system has been coded with VP_Expert Shell and tested in Shahid Hasheminezhad Teaching Hospital affiliated to Tehran University of Medical Sciences and final expert… CONTINUE READING
    43 Citations

    Figures and Tables from this paper.

    An Improved Rule-Base Expert System for Diagnosis of Obesity
    A Decision Support System for Polyuria Patient ’ s Treatment
    • 1
    • PDF
    The Diagnostic Value of Skin Disease Diagnosis Expert System
    • 5
    • PDF
    Rule based diagnosis system for diabetes
    • 8
    Diabetes diagnosis expert system by using Belief Rule Base with evidential reasoning
    • Saifur Rahaman
    • Computer Science
    • 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT)
    • 2015
    • 1
    Survey on development of expert system in the areas of Medical, Education, Automobile and Agriculture
    • H. Jabbar, R. Khan
    • Computer Science
    • 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom)
    • 2015
    • 7
    Self-Diagnosis of Diabetes Using CBR Algorithm