Title :
Medical diagnosis system using fuzzy logic toolbox
Author :
Dagar, Preety ; Jatain, Aman ; Gaur, Deepti
Author_Institution :
ITM Univ., Gurgaon, India
Abstract :
Medical diagnosis is basically a pattern classification phenomena: based on some input provided by a patient, an expert gives a conclusion on the basis of its knowledge, which is normally stored in a binary form, and finally the result is calculated i.e. either the patient suffering from a certain disease or not. There are a number of properties in fuzzy set theory has a number of facilities that make it suitable for medical diagnosis. The results and findings from the study had shown that the technique of fuzzy logic can contribute a reliable result in order to notify the disease. Human subject has been used to test the system. In this paper we have proposed a system for medical diagnosis which is a generated using Fuzzy Logic Toolbox in MATLAB. Specifically, it focuses on medical diagnosis.
Keywords :
fuzzy logic; medical diagnostic computing; Matlab; fuzzy logic technique; fuzzy logic toolbox; fuzzy set theory; medical diagnosis system; pattern classification; Automation; Diseases; Fuzzy logic; MATLAB; Medical diagnosis; Medical diagnostic imaging; fuzzy logic; fuzzy logic toolbox; medical diagnosis; medical diagnosis using fuzzy logic;
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
DOI :
10.1109/CCAA.2015.7148370