title: GA-ANFIS Expert System Prototype for Prediction of Dermatological Diseases.
abstract: This paper presents novel GA-ANFIS expert system prototype for dermatological disease detection by using dermatological features and diagnoses collected in real conditions. Nine dermatological features are used as inputs to classifiers that are based on Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for the first level of fuzzy model optimization. After that, they are used as inputs in Genetic Algorithm (GA) for the second level of fuzzy model optimization within GA-ANFIS system. GA-ANFIS system performs optimization in two steps. Modelling and validation of the novel GA-ANFIS system approach is performed in MATLAB environment by using validation set of data. Some conclusions concerning the impacts of features on the detection of dermatological diseases were obtained through analysis of the GA-ANFIS. We compared GA-ANFIS and ANFIS results. The results confirmed that the proposed GA-ANFIS model achieved accuracy rates which are higher than the ones we got by ANFIS model.
authors.affiliation: University of Sarajevo - Faculty of Electrical Engineering.
authors.forename: Lejla
authors.initials: L
authors.lastname: Begic Fazlic
authors.affiliation: UCSF - School of Pharmacy.
authors.forename: Korana
authors.initials: K
authors.lastname: Avdagic
authors.affiliation: University of Sarajevo - Faculty of Electrical Engineering.
authors.forename: Samir
authors.initials: S
authors.lastname: Omanovic
mesh_terms: D000465:Algorithms; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005103:Expert Systems; D006801:Humans; D000069550:Machine Learning; D010865:Pilot Projects; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012871:Skin Diseases / Q000145:classification* / Q000175:diagnosis*