Preliminary Study of Longitudinal EMR data for Diabetes Forecasting

•Diabetes is a group of metabolic diseases in which there are high blood sugar levels over a prolonged period. •Globally, in 2013, an estimated 344 million people have type 2 diabetes (T2D) [1]. •This is equal to 8.3% of the adults population, with equal rates in both women and men. •Most symptoms of type 2 diabetes are not expressed aggressively and hence millions of patients remain undiagnosed for sustained periods of time. •Health care providers and drug companies have an interest in identifying and treating these subjects before they develop full-blown diabetes. •We would like to transform healthcare into heterogeneous and big data driven analytics for precise diagnosis and treatment