Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making

Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making

Objectives Liver transplantation is a complex procedure frequently requiring transfusion of blood products to manage coagulopathy and haemorrhage. This study aimed to develop machine learning models to predict the biological effects of blood product transfusions, assisting clinicians in selecting op...

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Main Authors: Jacques Creteur, Thibault Martinez, Valerio Lucidi, Turgay Tuna, Florian Blanchard, Olivier Duranteau, Benjamin Popoff, Axel Abels, Eric Savier, Patrizia Loi, Desislava Germanova, Anne Demulder
Format: Article
Language:English
Published: BMJ Publishing Group 2025-06-01
Series:BMJ Health & Care Informatics
Online Access:https://informatics.bmj.com/content/32/1/e101466.full
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