Adaptive Neuro Fuzzy Inference System for Diagnosing Dengue Hemorrhagic Fever

Abstract

Death of effect disease Dengue Hemorrhagic Fever (DHF) in Jakarta is high. To diagnosis patient of DHF, also render help immediately, and prevent death. Expert system can be used for the diagnosis of DHF. This research is conducted by the model system of Neuro-Fuzzy. One of them is ANFIS for conducting the diagnosis and medical procedure of DHF. Sample of research consist patient data suffering from DHF and dengue fever (DF), 32 cases of DHF and 32 cases of DF. Examination of model is conducted by some phase with data before and after verification. The examination of the model consists of amount and type of membership function. The conclusion of this research is ANFIS can be used selectively for conduct diagnosis of disease of DHF and can be used better if fulfilled minimum condition according to regulation which have been known such as haemorrhage manifestation and finding of fever. Model use the type of membership function of Gaussian yield accuracy 86,67 %, type of trapezoid yield accuracy 40 %, type of bells yield accuracy 40 % and type of triangular yield accuracy 40 %.