Novel Respiratory Diseases Diagnosis by Using Fuzzy Logic

Abstract

In this paper we design an expert system to diseases diagnosis by using Fuzzy set depending on doctor’s opinions. Approach: Using fuzzy set to diseases diagnosis depending on opinion of 20 doctors, Results: it has been to diagnose three types of respiratory diseases (primary kinds of respiratory diseases) (pneumonia (PEN), tuberculosis (TB) and normal influenza (INF)), there are four symptoms X-ray, Respiratory rate (RR), Cough (CO) and Fever (F) which indicate as input of the fuzzy logic and the output will be a range of the risks and type of respiratory diseases.