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Machine learning for predicting preoperative red blood cell demand
25
Zitationen
5
Autoren
2021
Jahr
Abstract
Through the comparison of seven ML methods, the Lightgbm algorithm-based model is more accurate than clinician experience-based in predicting preoperative RBC transfusion, which reduces the risk of untimely blood supply caused by insufficient preoperative blood preparation, and reduces the unnecessary cost of blood compatibility testing caused by excessive preoperative blood preparation.
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