J. Feng

Beyond Padua and IMPROVE: Machine Learning Outperforms Guideline Risk Scores for Prediction of Radiologically Confirmed Hospital-Acquired Venous Thromboembolism

Machine learning models using routine admission data significantly outperform Padua and IMPROVE for prediction of hospital-acquired VTE; pending recalibration and prospective external validation, it could augment manual risk assessment without additional data entry.