Abstract
Artificial intelligence is emerging as a persuasive tool in the field of medical science. This research work also primarily focuses on the development of a tool to automate the diagnosis of inflammatory diseases of the knee joint. The tool will also assist the physicians and medical practitioners for diagnosis. The diseases considered for this research under inflammatory category are osteoarthritis, rheumatoid arthritis and osteonecrosis. A five-layer adaptive neuro-fuzzy (ANFIS) architecture was used to model the system. The ANFIS system works by mapping input parameters to the input membership functions, input membership functions are mapped to the rules generated by the ANFIS model which are further mapped to the output membership function. A comparative performance analysis of fuzzy system and ANFIS system is also done and results generated shows that the ANFIS system outperformed fuzzy system in terms of testing accuracy, sensitivity and specificity.
Highlights
Expert systems (ES) is a triumphant commercial product and enthralling research tool of artificial intelligence (AI) which transpired during early 1970s
The ANFIS system works by mapping input parameters to the input membership functions, input membership functions are mapped to the rules generated by the ANFIS model which are further mapped to the output membership function
Knee joint is the main weight bearing joint, so we have focus special attention towards those large hinge joint of the body
Summary
Expert systems (ES) is a triumphant commercial product and enthralling research tool of artificial intelligence (AI) which transpired during early 1970s. ES is successfully employed in various fields like medical, agriculture, automatic control, data classification, decision analysis and airspace, in medical field, where patient’s health and safety measures are important. Knee is the hinge joint which plays vital role in skeletal system of human. The whole-body weight is on the knee joint. A number of categories of diseases could affect this vital part of the body such as inflammatory diseases, infectious diseases, neoplastic diseases, injuries, etc. The proposed system is designed to diagnose the inflammatory diseases of knee namely osteoarthritis, rheumatoid arthritis and osteonecrosis using adaptive neuro-fuzzy technique
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