Cargando…
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...
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: | |
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 |
Ejemplares similares
-
(Non‐)donor demographics, donation willingness, and the donor career
por: Piersma, Tjeerd W., et al.
Publicado: (2019) -
Attitude and willingness toward blood donation in Iranian students
por: Afshar, Reza, et al.
Publicado: (2009) -
Recruitment and representativeness of blood donors in the INTERVAL randomised trial assessing varying inter-donation intervals
por: Moore, Carmel, et al.
Publicado: (2016) -
Difficult blood donor choices: dance, feast or donate
blood?
por: Bianco, Celso
Publicado: (2013) -
Perceptions of donors and recipients regarding blood donation
por: Conceição, Vander Monteiro da, et al.
Publicado: (2016)