Predicting Red Blood Cell Transfusion in Elective Cardiac Surgery: A Machine Learning Approach

Predicting Red Blood Cell Transfusion in Elective Cardiac Surgery: A Machine Learning Approach

The benefits of Patient Blood Management can vary depending on a patient’s risk profile for requiring a blood transfusion. The objective of this study is to develop and analyse machine learning models that can identify patients at risk of requiring red blood cell transfusion. This retrospective coho...

Full description

Saved in:
Bibliographic Details
Main Authors: Beatriz Lau, Daniel Ramos, Vera Afreixo, Luís M. Silva, Ana Helena Tavares, Miguel Martins Felgueiras, Diana Castro Paupério, João Firmino-Machado
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematical and Computational Applications
Subjects:
machine learning
cardiac surgery
blood transfusion
Online Access:https://www.mdpi.com/2297-8747/30/2/22
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2297-8747/30/2/22

Similar Items