A hybrid system applied to epidemic screening

Although many knowledge-based systems (KBSs) focus on single-paradigm appro aches to encoding knowledge (such as production rules), human experts rarel y use a single type of knowledge to solve a real-world problem. A human exp ert usually combines a number of reasoning mechanisms. In recent years, rul e-based reasoning (RBR), case-based reasoning (CBR) and model-based reasoni ng (MBR) have emerged as important and complementary reasoning methodologie s in the intelligent systems area. For complex problem solving, it is usefu l to integrate RBR, CBR and MBR. In this paper, a hybrid epidemic screening KBS which integrates a deductive RBR system, an inductive CBR system and a quantitative MBR system is proposed. The system has been tested using real epidemic screening variables and data.