Application of a recursive partitioning decision tree algorithm for the prediction of massive transfusion in civilian trauma: the MTPitt prediction tool.

Jansen N SeheultVincent P AntoNadim FarhatMichelle N StramPhilip C SpinellaLouis AlarconJason SperryDarrell J TriulziMark H Yazer

Published in: Transfusion (2018)

The MTPitt decisions trees are highly sensitive tools for identifying patients who received a massive transfusion and do not require computational resources to be implemented in the trauma setting.

Keyphrases

cardiac surgery
trauma patients
sickle cell disease
machine learning
deep learning
acute kidney injury
decision making
molecularly imprinted
liquid chromatography