Development and Validation of an Explainable Machine Learning Model for Prediction of Massive Transfusion in Upper Gastrointestinal Bleeding

The developed machine learning model demonstrated promising performance in identifying UGIB patients at high risk of massive transfusion. While the model shows potential to assist clinicians in optimizing blood management strategies, further prospective validation is required to confirm its clinical utility in diverse settings.