An Expert System to Determine Systemic Lupus Erythematosus Under Uncertainty

This paper represents an expert system to presume systemic lupus erythematosus (SLE) at its early development stage. SLE is an autoimmune disease that assaults almost every organ immediately and puts the affected individual to death in the briefest time frame. Statistical data shows a large number of people lose their lives to SLE due to its deferred suspicion as well as detection. Researchers in their discourse accentuate the speculating SLE at its underlying stage, which can be followed by some particular signs and manifestations. The proposed system considers all the potential signs and symptoms of SLE to develop its knowledge base. The system has been developed by using the belief rule-based inference methodology using the evidential reasoning (RIMER) approach. The domain knowledge and additional knowledge representation parameters are collected from some domain experts. The system has been tested over thousands of patients and found accurate on an average of 99.67%.