• Corpus ID: 6799835

An Expert System for Diabetes Diagnosis

@article{Zeki2012AnES,
  title={An Expert System for Diabetes Diagnosis},
  author={Tawfik Saeed Zeki and Mohammad V. Malakooti and Yousef Ataeipoor and S. Talayeh Tabibi},
  journal={American academic \& scholarly research journal},
  year={2012},
  volume={4},
  pages={1}
}
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… 

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References

SHOWING 1-10 OF 17 REFERENCES

Diagnosis and Management of Diabetes Mellitus through a Knowledge-Based System

A low-cost automated knowledgebased system that helps in self-diagnosis and management of this chronic disease for patients as well as doctors is developed.

A Fuzzy Rule-Based Expert System for Diagnosing Asthma

A fuzzy rule-based expert system to alleviate the hazard of asthma by diagnosing asthma at initial stages is designed and developed by the participation of general physicians, experienced asthma physicians and asthmatic patients.

Esdiabetes (an expert system in diabetes)

The steps followed to implement ESDIABETES, was developed by computer science graduate students at Texas A&M University Corpus Christi to help people monitor and control the blood glucose level and is described.

Expert System Design and Analysis for Breast Cancer Diagnosis

Algorithm for rule-based reasoning is presented for mammographic findings to provide support for the clinical decision to perform biopsy of the breast and it is shown that at a threshold of 0.21, 98%, of the malignancies would be biopsied, and the number of benign biopsies would be decreased by 41%.

A Fuzzy Expert System for Heart Disease Diagnosis

This system can be viewed as an alternative for existing methods to distinguish of heart disease presence and is designed in Matlab software.

Fuzzy Rule-Base Expert System for Evaluation Possibility of Fatal Asthma

Fuzzy-rules, modular representation of variables in regard to patients’ perception of the disease, and minimizing the need for laboratory data are the most important features of this fuzzy expert system developed for prediction of fatal asthma.

An Introduction to Expert Systems

It is suggested that the situation could be improved with computer technology, and one type of advanced computer technology designed specifically to assist in decision making is expert systems, the product of research in artificial intelligence.

A Design and Implementation of U-health Diagnosis System using Expert System and Neural Network

An expert system using back-propagation to support the diagnosis of citizens in UHealth system, which consists of a network system to collect data and a sensor module which measures pulse, blood pressure and so on is proposed.