Implementation of fuzzy inference system in children skin disease diagnosis application

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.