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Authors
Affiliations
1 PG Department of Computer Science, Sant
Gadge Baba Amravati University, Amravati, IN
2 Dr. D.Y. Patil Group of Institutes, Akurdi,
Pune, IN
Source
Biometrics and Bioinformatics, Vol 8, No 1 (2016), Pagination: 1-7
Abstract
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.
Keywords
Neuro-Fuzzy, Medical Diagnostics, Medical Imaging, Artificial Intelligence.
