Type 2 diabetes risk forecasting from EMR data using machine learning.

Abstract

Diabetes risk forecasting using data from EMR is innovative and has the potential to identify, automatically, high-risk populations for early intervention with life style modifications such as diet and exercise to prevent or delay the development of T2D. Our study shows that T2D risk forecasting from EMR data is feasible.