Decision Support System Using CBR for Lung Diseases

Abstract

Expert Systems imitate the reasoning process of experts for solving specific problems and employ human knowledge captured in a case based memory. The principal method use in the memory is case-based reasoning method which can provide the solving new problem by adapting previous solution to similar problems. In this system, CBR’s cyclical process is used to support enhancing a process’s performance of an expert. This method retrieves the appropriate cases from a larger set of cases. If the similar between a new case and the retrieved case are very high, the previous solution to that case is returned to users. But if the cases are not exactly equal, the system gives the possible cases using nearest neighbor retrieval method. This system is tested on Postoperative Patient data.In this paper we consider the patient who suffers lung and other symptoms which may or may not be serious.The system can diagnose four types of lung disease.