Ability of a Machine Learning Algorithm to Predict the Need for Perioperative Red Blood Cells Transfusion in Pelvic Fracture Patients: A Multicenter Cohort Study in China

Ability of a Machine Learning Algorithm to Predict the Need for Perioperative Red Blood Cells Transfusion in Pelvic Fracture Patients: A Multicenter Cohort Study in China

Background: Predicting the perioperative requirement for red blood cells (RBCs) transfusion in patients with the pelvic fracture may be challenging. In this study, we constructed a perioperative RBCs transfusion predictive model (ternary classifications) based on a machine learning algorithm.Materia...

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Bibliographic Details
Main Authors: Xueyuan Huang, Yongjun Wang, Bingyu Chen, Yuanshuai Huang, Xinhua Wang, Linfeng Chen, Rong Gui, Xianjun Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Medicine
Subjects:
pelvic fracture
perioperative
RBCs transfusion
predictive model
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.694733/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.694733/full

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