Machine learning to predict venous thromboembolism After Colorectal Cancer Surgery: a Chinese dynamic modelling study

Our study demonstrates the feasibility of a ML-based approach for predicting VTE following CRC surgery. The integration of ML with SHAP methodology provides a clinically actionable tool for individualized risk assessment and optimized VTE prevention strategies.