Lakhasly

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Summarize result (87%)

Abstract—Fuzzy expert system has shown a remarkable system
for building of intelligent decision making systems based on
expert’s knowledge and observations. This work presents an
approach for the treatment of patients on the basis of fuzzy rules
applied on symptoms that seen in patient.
For the identification
of disease Epistaxis, firstly fuzzy rules applied based on the
symptoms selected by the patient and secondly for the
improvement of developed system, expert learning system is
proposed by which disease diagnosis accuracy has been
enhanced.
Through expert learning system, experience Doctors
with their knowledge and with the system for enhance the
probability of finding disease more accurately.
Finally, a system
named “Disease Diagnosis ” has to be developed for showing the
proposed work and our results shows improved interpretation
accuracy in diagnosis of epistaxis in patient .


Original text

Abstract—Fuzzy expert system has shown a remarkable system
for building of intelligent decision making systems based on
expert’s knowledge and observations. This work presents an
approach for the treatment of patients on the basis of fuzzy rules
applied on symptoms that seen in patient. For the identification
of disease Epistaxis, firstly fuzzy rules applied based on the
symptoms selected by the patient and secondly for the
improvement of developed system, expert learning system is
proposed by which disease diagnosis accuracy has been
enhanced. Through expert learning system, experience Doctors
with their knowledge and with the system for enhance the
probability of finding disease more accurately. Finally, a system
named “Disease Diagnosis ” has to be developed for showing the
proposed work and our results shows improved interpretation
accuracy in diagnosis of epistaxis in patient .

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