Making it FAIR: a machine learning approach to intraoperative blood transfusion risk

This is the authors' abstract. We don't add key points for this paper.

Objective: Our study emphasised the importance of a metric often overlooked—dilutional anaemia. It uses advanced machine learning techniques to demonstrate that fluid administration intraoperatively is one of the most profound causes of anaemia after surgery. In addition, we used our findings to develop the FAIR score, a tool that may help proactively predict which patients may require life-saving blood transfusions.