DESIGN MODEL OF FUZZY LOGIC MEDICAL DIAGNOSIS CONTROL SYSTEM
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 5
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.
Authors and Affiliations
Faran Baig , Dr. M. Saleem Khan , Yasir Noor , M. Imran
Keywords
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