Diabetes Mellitus is an important factor in the onset and progression of many related serious conditions. It is also very actionable and preventable thus the need for improved risk assessment to identify high-risk individuals early.
In this study we use lifestyle, genomic, MRI features and Cox Proportional Hazard models1 to improve DM risk assessment. To our knowledge, this is the first demonstration of integrating these features for assessing type 2 DM risk. Our final cross-validated concordance index is 84%, 4% of which is due to MRI features. On average our models can predict up to ten years into the future.