Explainable haemoglobin deferral predictions using machine learning models: Interpretation and consequences for the blood supply

BACKGROUND AND OBJECTIVES: Accurate predictions of haemoglobin (Hb) deferral for whole‐blood donors could aid blood banks in reducing deferral rates and increasing efficiency and donor motivation. Complex models are needed to make accurate predictions, but predictions must also be explainable. Befor...

Descripción completa

Detalles Bibliográficos
Autores principales: Vinkenoog, Marieke, van Leeuwen, Matthijs, Janssen, Mart P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826045/
https://www.ncbi.nlm.nih.gov/pubmed/36102148
http://dx.doi.org/10.1111/vox.13350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826045/
https://www.ncbi.nlm.nih.gov/pubmed/36102148
http://dx.doi.org/10.1111/vox.13350

Ejemplares similares