Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks

Machine learning methods are a novel way to predict and rank donors' willingness to donate blood and to achieve precision recruitment, which can improve the recruitment efficiency and meet the challenge of blood shortage. We collected information about experienced blood donors via short message...

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Detalles Bibliográficos
Autores principales: Wu, Hong-yun, Li, Zheng-gang, Sun, Xin-kai, Bai, Wei-min, Wang, An-di, Ma, Yu-chi, Diao, Ren-hua, Fan, Eng-yong, Zhao, Fang, Liu, Yun-qi, Hong, Yi-zhou, Guo, Ming-hua, Xue, Hui, Liang, Wen-biao
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/PMC9647248/
https://www.ncbi.nlm.nih.gov/pubmed/36357435
http://dx.doi.org/10.1038/s41598-022-21215-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647248/
https://www.ncbi.nlm.nih.gov/pubmed/36357435
http://dx.doi.org/10.1038/s41598-022-21215-2

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