Fuzzy smart framework for diagnosis of liver disorder in Rheumatoid arthritis

Despite most of the centralization techniques used in medical diagnosis, a right finding is yet considered a priority. Most of this condition is due to the fact that clinical issue requires both expertise and knowledge in managing with complexity. In this paper, we intend a fuzzy expert framework for studying and examining the risk of anemia and liver dysfunction due to the usage of drugstherapy (DMARDS) among patients in Rhematoid arthritis. The data illustration of this system is given from a significant level, taking into account the recorded data about signs and symptoms in rheumatic patients as well as the clinical appraisal. This framework imitates the professional doctor's behavior. The system predicts the risk of anemia and liver dysfunction in patients treated with DMARDS for rheumatoid arthritis.The framework is designed in such a manner that the patient can access it individually and has correlation with other normal indicative frameworks is quicker, less expensive, and furthermore more liable and exact