Implementation of fuzzy inference system in children skin disease diagnosis application
Putra A.A.a, Munir R.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
Abstract
© 2015 IEEE.This paper discussed the use of fuzzy inference system in children’s skin disease diagnose application. The selected diseases to be diagnosed by the application are measles, German measles and chicken pox. These diseases were selected due to their similarities in pattern of infection and symptoms such as rash and fever. The built fuzzy inference system has input variables that represent the symptoms that may appear in each disease. The used fuzzy rules generated from experts’ knowledge and literature. Additional features to modify the inference system also included in the application. The application diagnosed diseases from 19 of 25 data represent patients’ condition correctly.
Author keywords
Fuzzy inference systems,Inference systems,Input variables,Patients’ conditions,Skin disease,symptom
Indexed keywords
Application,Children’s skin disease,fuzzy logic,inference system,symptom