Interpretable Model Predicts VTE in Sepsis

Researchers developed and externally validated an interpretable LightGBM model to predict venous thromboembolism (VTE) in ICU patients with sepsis, using 25,197 MIMIC‑IV patients for training and 328 Changshu Hospital patients for validation. The model attained an internal AUC of 0.956 and external AUC of 0.786 (0.816 in severe sepsis), showed good calibration and net benefit, and SHAP highlighted catheterization, chloride, bicarbonate, and prolonged PTT as top predictors, supporting personalized prophylaxis.