Interpretable machine learning models to predict venous thromboembolism in sepsis patients with type 2 diabetes mellitus
Sepsis patients with type 2 diabetes mellitus (T2DM) face a substantially elevated risk of venous thromboembolism (VTE), yet prediction tools tailored for this population are lacking. This study aimed to develop and validate interpretable machine learning models for predicting in-hospital VTE in septic patients wit...