Applying Methods of Feature Extraction in Detection of Arthritis Disease

Abstract

Arthritis is a deadly disease which is in simple terms a bone and joint disorder causing immobility of the joints. Arthritis is occurring on ageing, genetic acquatanice, disease due habitats and external environmental factors or due to accidental damage of bones and joints. Diagnosis of the disease is difficult in the initial stages as the joints are difficult to analyse. The X-ray images obtained from the patient does not clearly demarcate the disease progress. As the nerve fibres, collagen and bone and tissue is involved in arthritis NMR imaging and X-ray imaging with a digitized image fed to an intelligent system for determine the pattern of the nerve endings for possible disease progress is the best route for detection. The pattern recognition for arthritis is found by The disease is finally analysed and diagnosed by the following of patterns of the nerve fibres and the bone collagen and tissue structure. pattern recognition uses various techniques like feature extraction, artificial intelligence, neural networks, fuzzy sets, expert systems, and binary and multiple search trees.