Modeling an Expert System for Diagnosis of Gestational Diabetes Mellitus Based On Risk Factors

Expert systems are recent product of artificial intelligence. It is a set of programs that manipulate encoded knowledge to solve problems in a specialized domain. Diabetes is a chronic illness that requires continuous medical care in patient self management education to prevent acute complications. Gestational diabetes mellitus (GDM) is a type of Diabetes present in around 3-4% of all pregnancies. This paper proposes a methodology to identify the GDM in pregnant women. Researchers contributed their work in diagnosing the diabetes mellitus. Our proposed work focuses on modeling an expert system to diagnose GDM using Feed forward Neural Network architecture.