An Expert System to Suspect Chronic Kidney Disease

Chronic Kidney Disease is one of the major health problems throughout the world. Every year large number of people loses their lives because of this disease. According to statistics, many of these patients die of Chronic Kidney Disease because the disease is not suspected in time. Therefore, suspicion of Chronic Kidney Disease plays a vital role to save many lives. But the suspicion of Chronic Kidney Disease is hampered due to some uncertainties. However, this paper represents an expert system that suspects Chronic Kidney Disease from the observation of signs and symptoms of a patient. The histories of the patients are also considered in this purpose. Belief Rule-Based Inference Methodology Using Evidential Reasoning Approach (RIMER) is used to develop the expert system. This system handles uncertainties that come from signs, symptoms and clinical domain knowledge. Real patients’ data, collected from Chittagong Medical College & Hospital, are used to construct the knowledge base. The physician’s consultation is also considered in this case. The system is tested over 95 patients and it has been observed that the system is more efficient in suspicion of Chronic Kidney Disease than the manual system. Keywords—Belief Rule Base (BRB); Belief Rule Base Inference Methodology using Evidential Reasoning (RIMER); Expert System; Chronic Kidney Disease (CKD); Uncertainty