Title: Fuzzy rule-based medical expert system to identify the disorders of eyes, ENT and liver
Authors: Prateek Agrawal; Vishu Madaan; Vikas Kumar
Addresses: School of Computer Science and Engineering, Lovely Professional University, Jalandhar, Punjab, India ' School of Computer Science and Engineering, Lovely Professional University, Jalandhar, Punjab, India ' School of Computer Science and Engineering, Lovely Professional University, Jalandhar, Punjab, India
Abstract: Proposed system has been designed based on fuzzy logic to enhance the control strategies in the medical field with the development of medical expert system capable of detecting human diseases. It is capable to use in medical diagnosis which receives the information in the form of data entry of various relevant parameters from patient and displays the output in form of best possible disease name. It can be used to perform some statistical evaluations on patient's symptoms which we find in our daily life, to detect the particular disease. A decision support system is verified and proposed after taking various trials and tests using general symptoms of a disease from professional physicians and medical human experts. Proposed method creates weighted fuzzy set rule to deal with the medical diagnosing problems from the training data. This research is an attempt to encourage the computer technology in advance to develop software that will assist the doctors, physicians or a normal human being at primary level in making correct decisions before taking any consultation from the specialist of eyes, ear-nose-throat (ENT) and liver.
Keywords: disease detection; fuzzy logic; medical expert systems; medical diagnostic systems; medical science; eye diseases; ENT diseases; ear nose and throat; liver diseases; decision support systems; DSS.
International Journal of Advanced Intelligence Paradigms, 2015 Vol.7 No.3/4, pp.352 - 367
Received: 04 Nov 2014
Accepted: 01 May 2015
Published online: 16 Dec 2015 *