Abstract:
Case Based Reasoning is a problem solving method which can generate the solution of a new problem by retrieving a solution of a previous similar case. In Case Base Reasoning Systems, old cases are used by an algorithm to solve user input problems or new cases. To be a complete CBR system, case adaptation algorithm is used to revise and retain the new case when no exact match case is found in the case base. This system is implemented as Case Based Reasoning System for Diagnosing Gastric and Intestinal Diseases. In this system, Case Nearest Neighbor Algorithm is used for retrieving similar cases to diagnose Gastric and Intestinal Diseases. This system also applies an rule induction algorithm (J.48) in case of no exact match case exists in the Case Base. Then the resulted solution can be retained in the system for future use.
