Development and validation of a machine learning method to predict intraoperative red blood cell transfusions in cardiothoracic surgery

Accurately predicting red blood cell (RBC) transfusion requirements in cardiothoracic (CT) surgery could improve blood inventory management and be used as a surrogate marker for assessing hemorrhage risk preoperatively. We developed a machine learning (ML) method to predict intraoperative RBC transf...

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Detalles Bibliográficos
Autores principales: Wang, Zheng, Zhe, Shandian, Zimmerman, Joshua, Morrisey, Candice, Tonna, Joseph E., Sharma, Vikas, Metcalf, Ryan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789772/
https://www.ncbi.nlm.nih.gov/pubmed/35079127
http://dx.doi.org/10.1038/s41598-022-05445-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8789772/
https://www.ncbi.nlm.nih.gov/pubmed/35079127
http://dx.doi.org/10.1038/s41598-022-05445-y

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