Chronic disease prediction using administrative data and graph theory: The case of type 2 diabetes.

•Administrative healthcare data is used to identify high-risk chronic patients.•Graph theory and social network analysis concepts were used to understand the disease progression.•Prediction framework showed between 82% to 87% accuracy using different methods.•Three predictive methods — regression, parameter optimization and tree classification were used.•Binary tree classification showed higher performance compared to the other two.