An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery

An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery

Abstract Aim The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict and manage the need for red blood cell (RBC) transfusion during hip fracture surgery. Methods Data of 2785 cases that underwent hip fracture surgery from April 2016 to May 2022 were collected,...

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Bibliographic Details
Main Authors: Yongchang Zhou, Suo Wang, Zhikun Wu, Weixing Chen, Dong Yang, Chaojin Chen, Gaofeng Zhao, Qingxiong Hong
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Anesthesiology
Subjects:
Hip fracture
Red blood cell transfusion
Machine learning
Predictive model
SHapley Additive exPlanations
Online Access:https://doi.org/10.1186/s12871-024-02832-y

Internet

https://doi.org/10.1186/s12871-024-02832-y

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