Matching algorithms for blood donation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software
Link
https://www.nature.com/articles/s42256-023-00722-5.pdf
Reference43 articles.
1. Guan, Y. When voluntary donations meet the state monopoly: understanding blood shortages in China. China Q. 236, 1111–1130 (2018).
2. Osorio, A. F., Brailsford, S. C. & Smith, H. K. A structured review of quantitative models in the blood supply chain: a taxonomic framework for decision-making. Int. J. Prod. Res. 53, 7191–7212 (2015).
3. Carneiro-Proietti, A. B. et al. Demographic profile of blood donors at three major Brazilian blood centers: results from the international REDS-II study 2007 to 2008. Transfusion 50, 918–925 (2010).
4. World Health Organization Blood Safety and Availability (2023). https://www.who.int/news-room/fact-sheets/detail/blood-safety-and-availability
5. Roberts, N., James, S., Delaney, M. & Fitzmaurice, C. The global need and availability of blood products: a modelling study. Lancet Haematol. 6, e606–e615 (2019).
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