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

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Bibliographic Details
Title: Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks.
Authors: Wu HY; Jiangsu Province Blood Center, Nanjing, Jiangsu, People's Republic of China., Li ZG; Yangzhou Blood Station, Yangzhou, Jiangsu, People's Republic of China., Sun XK; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, People's Republic of China., Bai WM; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, People's Republic of China., Wang AD; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, People's Republic of China., Ma YC; Jiangsu Province Blood Center, Nanjing, Jiangsu, People's Republic of China., Diao RH; Yangzhou Blood Station, Yangzhou, Jiangsu, People's Republic of China., Fan EY; Yangzhou Blood Station, Yangzhou, Jiangsu, People's Republic of China., Zhao F; Jiangsu Province Blood Center, Nanjing, Jiangsu, People's Republic of China., Liu YQ; Nanjing Foreign Language School, Nanjing, Jiangsu, People's Republic of China., Hong YZ; Nanjing Foreign Language School, Nanjing, Jiangsu, People's Republic of China., Guo MH; Yangzhou Blood Station, Yangzhou, Jiangsu, People's Republic of China. guominghua66@sina.com., Xue H; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, People's Republic of China. hxue@seu.edu.cn., Liang WB; Jiangsu Province Blood Center, Nanjing, Jiangsu, People's Republic of China. wenbiaoliang@hotmail.com.
Source: Scientific reports [Sci Rep] 2022 Nov 10; Vol. 12 (1), pp. 19165. Date of Electronic Publication: 2022 Nov 10.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-022-21215-2