Detection of Rheumatoid Arthritis Using Machine Learning

Artificial neural network is inspired by the way the biological neural system works i.e. how the brain processes information. AI and ML is being trialed for a range of research and healthcare uses, including detection of various kind of disease, management of chronic(persistent) conditions, delivery and discovery of health services, and drug respectively. Rheumatic diseases are more common than any other type of diseases, rheumatism or we can say the musculoskeletal system's pain that affects the life's day to day activities. It is of great importance to diagnose patients that are more vulnerable to rheumatic diseases in terms of life quality. It targets all ages but it is more common in women. This disease has many symptoms similar to other diseases. Therefore, it is very hard to detect. Also, the diagnostic tools are complex and uneconomical. In this research paper, machine learning algorithms are implemented to predict rheumatic arthritis (RA) by the help of the four factors for the study of rheumatic diseases. In the upcoming future, using the artificial intelligence (AI), it aids to enhance the prediction of rheumatic diseases.