Machine learning to predict venous thrombosis in acutely ill medical patients

摘要

The identification of acutely ill patients at high risk for venous thromboembolism (VTE) may be determined clinically or by use of integer‐based scoring systems. These scores demonstrated modest performance in external data sets.