Neuro-Fuzzy Approaches for Analysis and Diagnosis of Respiratory Infection Diseases:A Survey

Chest X-ray, Computed Tomography Scan, Ultrasound Scans, etc. can be utilized for the analysis and diagnosis of respiratory tract infections. Intelligent system techniques applied in medical diagnosis require high level of accuracy and less time consumption in decision making. Although ANN and fuzzy logic have a lot of advantages but they have some disadvantages too. A neuro-fuzzy system is a fuzzy system that uses a learning algorithm derived from or inspired by neural network theory to determine its parameters (fuzzy sets and fuzzy rules) by processing data samples. Neuro-fuzzy is a combination of advantages of ANN and fuzzy logic.. Artificial intelligence and neuro-fuzzy is not only used in respiratory infection or lung cancer analysis but also tried to be used to diagnose thyroid disorder, diabetes, heart diseases, neuro diseases, asthma disease. This paper presents overview and compares the neuro fuzzy methods available for the analysis and diagnosis of the respiratory tract infection diseases.