Generic Expert System and Its Application in Knowledge Modelling and Inference
In this paper, we present a generic expert system software tool and its application in expert knowledge modelling and inference. The system is able to model expert rule-based knowledge and provide predictions for unseen data by the application of inductive inference. The theoretical framework for modelling expert knowledge is described independently of its implementation as a generic expert system. The framework is based on a review of the literature on belief rule-based inference methodology using the evidential reasoning approach (RIMER) and its applications. The application of the generic expert system is demonstrated by a case study which uses a guideline model for clinical risk assessment of acute upper gastrointestinal bleeding.