MExS A Fuzzy Rule Based Medical Expert System To Diagnose The Diseases
作者： Sajan Seth
关键词: Expert system 、 Fuzzy rule 、 Disease 、 Computer science 、 Training set 、 Human being 、 Fuzzy set 、 Data mining 、 Medical diagnosis 、 Medical emergency 、 Decision support system
摘要: This article describes the development of medical expert system for diagnosis human diseases (MExS). MExS can be used to perform some statistical evaluations on patient's symptoms which we find in our daily life, detect particular disease. It is a decision support based symptoms. We describe new method creating weighted fuzzy set rule deal with diagnosing problems from training data. causal (whose "IF" part truly causes "THEN" happen as an effect) system. The researchers are try advance develop software that will assist doctors, physician or normal being making right without any consultation specialist. aim this paper single deals liver, kidney, ENT, MD, blood, nervous system, eye, and skin. collection different specialists related into unit predict diseases.
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