Perception-based expert system with application to clinical decision making

The vast majority of medical decision support systems operate on crisp numerical information. This paper describes an approach based on the paradigm of computing with perceptions that accounts for the imprecise character of clinical data. The proposed reasoning system handles imprecise input information in a computationally inexpensive way. An application example for decision support in the management of chronic anemia demonstrates the feasibility of the proposed approach.