Prediction of intraoperative red blood cell transfusion in valve replacement surgery: machine learning algorithm development based on non-anemic cohort

Prediction of intraoperative red blood cell transfusion in valve replacement surgery: machine learning algorithm development based on non-anemic cohort

BackgroundOur study aimed to develop machine learning algorithms capable of predicting red blood cell (RBC) transfusion during valve replacement surgery based on a preoperative dataset of the non-anemic cohort.MethodsA total of 423 patients who underwent valvular replacement surgery from January 201...

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Bibliographic Details
Main Authors: Ren Zhou, Zhaolong Li, Jian Liu, Dewei Qian, Xiangdong Meng, Lichun Guan, Xinxin Sun, Haiqing Li, Min Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
intraoperative transfusion
machine learning algorithm
prediction
non-anemic
valve replacement
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1344170/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2024.1344170/full

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