Open access
Jul 2026
Construction and validation of a machine learning–based risk prediction model for venous thromboembolism in older adult patients: A multifactorial analysis of 28,231 cases
An explainable XGBoost model for VTE risk prediction in older inpatients is developed and validated, enabling early risk stratification to support individualized thromboprophylaxis and Multicenter prospective external validation is warranted for clinical implementation.
Si-Yu Zhou, Zhen-Rui Tang, Yi-Feng Tan et al.
· Medicine · 0 citations