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Research Paper | Computer Science & Engineering | India | Volume 4 Issue 1, January 2015

Nonlinear Identification and Medical Diagnosis System Using Functional-Type MIMORM (Multi Input Multi Output Rule Module) Connected Fuzzy Inference Method

Sajan Seth

Abstract: Expert systems are capable of performing at the level of human expert in a specific problem domain called the computer programs. Uncertainty management is the most important issue in the development of the expert system. This expert system is used for the medical diagnosis. It is implemented for the diseases related to human body, whether it is blood diseases, liver diseases, nose diseases, throat diseases, related to ear problems, related to nerve system, eye diseases. This expert system deals with the individual specialist. This is a combination of all the expert system which had been developed for as single specialist. This expert system used to performed some statically operation on patients symptoms. It is able to diagnosing the particular disease. The aim of this expert system is that it can be used by the physician in our daily practice to diagnose the diseases. Artificial intelligence techniques are to be used to develop best expert system that represent the various stages of the diagnose process.

Keywords: Diagnosis human diseases, Fuzzy logic, Medical record of patients, Suggest specialist

Edition: Volume 4 Issue 1, January 2015,

Pages: 1641 - 1644

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