Rheumatoid arthritis using Machine Learning-A Review

Abstract

  Rheumatoid Arthritis (RA) is an auto immune disease and it affects the smaller regions of joints like fingers, feet and wrist. If the RA disease become severe, the person can loss their normal life and lead to suffer more. But pre-diagnosis of rheumatoid arthritis (RA) is difficult one now a days. Pre- diagnosis of rheumatoid arthritis disease will help to treat the patient before it attains to severe stage. There are several research have done using machine learning techniques and artificial intelligence methods to produce automatic pre-diagnosis of RA disease for better accuracy. Medical images as X-ray and ultrasound images are taken as input data to train the model. In this study, we have reviewed about the diagnosis of RA disease and compared with existing research using deep learning methods and it helps to check the possibility of applying diagnosis method using machine learning techniques. The advantages and limitations of rheumatoid arthritis with different machine learning techniques are discussed.