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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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-12-01
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| Series: | BMC Anesthesiology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12871-024-02832-y |
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