Identifying and ranking novel independent features for cardiovascular disease prediction in people with type 2 diabetes.
Katarzyna DziopaN ChaturvediFolkert W. AsselbergsAmand Floriaan SchmidtPublished in: medRxiv : the preprint server for health sciences (2023)
Through data-driven feature selection we identified a substantial number of features relevant for prediction of cardiovascular risk in people with diabetes, the majority of which related to non-classical risk factors such as mental health, general illness markers, and kidney disease.