Computational system for early diagnostic of Rheumatoid Arthritis, using variables of process and artificial intelligence

Rheumatoid Arthritis (RA) is a disease that mainly affects women in working age. This disease is more visible in the hands due to the number of joints they have. Often, traditional detection methods have a high economic cost, are inaccessible and in some cases subjective. In this paper, a computer system to help in the diagnosis of RA, by means of process variables, is presented. Results show that our system is able to classify between data from people diagnosed with RA, and the healthy ones.