Does a combined XGBoost model incorporating perivascular adipose tissue features accurately predict stroke events in patients with type 2 diabetes mellitus?
A machine learning model incorporating perivascular adipose tissue features can accurately predict stroke events and stratify risk in patients with type 2 diabetes.
The combined XGBoost model incorporating PVAT features accurately predicted stroke events in patients with T2DM and provided risk stratification for patients.
Zhao et al. (Wed,) studied this question.