An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome Under Uncertainty

The document discusses a prototype clinical expert system for risk stratification of patients with polycystic ovary syndrome (PCOS), a common hormonal disorder among women of reproductive age. The system, named Belief Rule Based Expert System (BRBES) using the RIMER approach, is designed to handle uncertainties in both clinical domain knowledge and clinical data, which are common in PCOS diagnosis due to the disorder's heterogeneous nature and the qualitative and quantitative expression of its symptoms. The paper highlights the need for such a system, as no existing system can effectively address these uncertainties. The BRBES is capable of detecting PCOS by considering its signs and symptoms.