A Fuzzy Approach to Support a Musculoskeletal Disorders Diagnosis

This work describe a fuzzy inference system to support a musculokeletal disorders diagnosis. The musculokeletal disorders refer to conditions the involve the nerves, tendours, muscles and supporting structures of the body. Nowadays it is observed a increasing in the number of occupational injures and illness. The linguistic variables and rules of the systems were associated to the disease symptoms and signals. To implement this system we incorporeted the knowledge of a medical expert. We use some clinical cases to evaluate the performance of our fuzzy model. The fuzzy stystem used applies the Mamdani method [1]. The next step of our research is to fine tune our system based on the analysis of more input variables and to validate the model against a bigger population of patients with wellconfirmed diagnostics. [1] MAMDANI, E. H.; ASSILIAN, S. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. International Journal of Man-Machine Studies, Vol. 7, No1, pp. 1-13, 1975. Proceedings of the VII Brazilian Symposium on Neural Networks (SBRN’02) 0-7695-1709-9/02 $17.00 © 2002 IEEE