e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : DESIGN MODEL OF FUZZY LOGIC MEDICAL DIAGNOSIS CONTROL SYSTEM
Authors : Faran Baig, Dr. M. Saleem Khan, Yasir Noor, M. Imran
Keywords : Medical diagnosis, Fuzzy logic medical system and medical diagnosis fuzzy rules
Issue Date : May 2011.
Abstract :
This research work addresses the medical diagnosis regarding the normality of a human function in human brain and the diagnosis of hemorrhage and brain tumor. It enhances the control strategies in the medical field to diagnose a disease. This system using fuzzy logic design: fuzzifier, inference engine, rule base, and defuzzification is capable to be used for medical diagnosis giving the entries of five inputs: Protein , Red blood cells , Lymphocytes , Neutrophils and Eosinophils, and taking three outputs: Normal, Hemorrhage and Brain Tumor. The medical diagnosis fuzzy rules are formulated and applied using MATLAB simulation for the system. The simulation results are found in agreement with the design based calculated results. This research work proposes to develop a control system to enhance the efficiency to diagnose a disease related to human brain.
Page(s) : 2093-2108
ISSN : 0975–3397
Source : Vol. 3, Issue.05

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