ImmunologybioRxivPreprint
Predicting Risk of Transfusion-Induced Red Blood Cell Alloimmunization Using Statistical and Machine Learning Approaches in the Recipient Epidemiology and Donor Evaluation Study (REDS-III) Database
Duan D Wang, Lingbo Zhou, Jiawen Carmen Chen…·Rui Xiao
This study builds prediction models for RBC alloimmunization using statistical and machine learning methods on the REDS-III database, finding XGBoost provides the best performance with an AUC-ROC of 0.752.
DOI 10.1101/2025.09.21.677587