Fuzzy Expert System Design for Diagnosis of Liver Disorders

A Proposed Neuro-Fuzzy Model for Adult Asthma Disease Diagnosis

“…An expert system was developed for Cardiac disease diagnosis on the basis of various computing techniques as like fuzzy rule base learning, Genetic algorithm and ANN [19]. A fuzzy rule based system was developed for the diagnosis of liver disorder [20].Again an expert system was developed on the basis of supervised learning methodology for lung cancer diagnosis [22].…”

“…The model that describes the neuro-fuzzy technique with linguistic method is defined with the Mamdani model [20] and the model with accuracy is referred as the Takagi-Sugeno-Kang (TSK) model. • The implementation of Neuro-Fuzzy Logic helps in probing the various approximation techniques from neural networks to get the exact parameter that are useful in the functioning of a fuzzy system.…”

Fuzzy Expert Systems (FES) for Medical Diagnosis

“…[47][48] The areas in which diversified applications are developed using fuzzy logic are: fuzzy models for illness, heart and cardiovascular disease diagnosis, asthama, abdominal pain, tropical diseases, neurological diseases, medical analogy of consumption of drugs, malaria diagnosis, diagnosis and treatment of diabetes, hepatobiliary disorder, diagnosis of male impotence, syndrome differentiation, diagnosis of lung and liver diseases, prostate diseases, lymph diseases, monitoring and control in intensive care units and operation theatres, diagnosis of chronic obstructive pulmonary diseases, diagnosis of cortical malformation, etc. [164][165][166][167][168][169][170][171][172] The non-disease areas of applications are found to be in: x-ray mammography, interpretation of mammographic and ultrasound images, electrographic investigation of human body. [72][73][74] The fuzzy expert system for different sounds produced by different organs in the human body using fuzzy logic toolbox of MATLAB has also been reported.…”

Intelligent Classification of Liver Disorder using Fuzzy Neural System

“…R. Jajoo et al built forecasting hepatitis C framework utilizing rule base and artificial neural network in [5]. M. Neshat et al in [6] developed fuzzy expert system for diagnosis of liver disorders. Laercio Brito Gonçalves et al proposed a novel neuro-fuzzy model for Pattern rule extraction and classification in databases; a new neuro-fuzzy model that has been particularly made for rule extraction and record classification in databases.…”

“…27 | P a g e www.ijacsa.thesai.org initial 5 attributes (x 1 -x 5 ) represents integer valued corresponding to the results of different blood tests used for diagnosis of liver disorderliness induced by alcoholic intake. The 6th attribute, x 6 , represent real value corresponding to the quantity of alcoholic drinks consumed by the male being per day (self-reported). In the dataset, the last column x 7 represents binary.…”