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Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks.
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.
Afiliação
  • 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.
Sci Rep ; 12(1): 19165, 2022 11 10.
Article em En | MEDLINE | ID: mdl-36357435
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD Base de dados: MEDLINE Assunto principal: Doadores de Sangue / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 4_TD Base de dados: MEDLINE Assunto principal: Doadores de Sangue / COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article