AN OSTEOARTHRITIS CLASSIFIER USING BACK PROPAGATION NEURAL NETWORK

It's true that many older people do have arthritis, but it's not just a disease of the old. Something can be done to manage most forms of arthritis, but it's very important that a correct diagnosis is established early. The development of decision support systems required for medical field that uses artificial neural networks appears to be a most promising method for predicting diagnosis. The work deals with the construction of a Back propagation Neural Network (BPNN) for Diagnosis of Orthopaedic Disease based on patients' symptoms. It becomes quite difficult for a novice medical general practioner to distinguish between various arthritides. The proposed work is capable of diagnosing and classifying selected Orthopaedic disease. As a case study the work has been focused on Osteoarthritis disease. The work will serve as a knowledge base for a Medical General Practitioner for medical diagnosis, providing assistance for effective and fast treatment.