Machine learning–based prediction of transfusion

BACKGROUND: The ability to predict transfusions arising during hospital admission might enable economized blood supply management and might furthermore increase patient safety by ensuring a sufficient stock of red blood cells (RBCs) for a specific patient. We therefore investigated the precision of...

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Detalles Bibliográficos
Autores principales: Mitterecker, Andreas, Hofmann, Axel, Trentino, Kevin M., Lloyd, Adam, Leahy, Michael F., Schwarzbauer, Karin, Tschoellitsch, Thomas, Böck, Carl, Hochreiter, Sepp, Meier, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Patient Blood Management
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540018/
https://www.ncbi.nlm.nih.gov/pubmed/32596877
http://dx.doi.org/10.1111/trf.15935

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540018/
https://www.ncbi.nlm.nih.gov/pubmed/32596877
http://dx.doi.org/10.1111/trf.15935

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