Assessment of Machine Learning Methods to Predict Massive Blood Transfusion in Trauma.

Background: Accurately predicting which patients are most likely to benefit from massive transfusion protocol (MTP) activation may help patients while saving blood products and limiting cost. The purpose of this study is to explore the use of modern machine learning (ML) methods to develop and validate a model that can accurately predict the need for massive blood transfusion (MBT).

Methods: The institutional trauma registry was used to identify all trauma team activation cases between June 2015 and August 2019.