Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks.
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| Title: | Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks. |
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| 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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36357435 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wu+HY%22">Wu HY</searchLink>; Jiangsu Province Blood Center, Nanjing, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Li+ZG%22">Li ZG</searchLink>; Yangzhou Blood Station, Yangzhou, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Sun+XK%22">Sun XK</searchLink>; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Bai+WM%22">Bai WM</searchLink>; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Wang+AD%22">Wang AD</searchLink>; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Ma+YC%22">Ma YC</searchLink>; Jiangsu Province Blood Center, Nanjing, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Diao+RH%22">Diao RH</searchLink>; Yangzhou Blood Station, Yangzhou, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Fan+EY%22">Fan EY</searchLink>; Yangzhou Blood Station, Yangzhou, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Zhao+F%22">Zhao F</searchLink>; Jiangsu Province Blood Center, Nanjing, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Liu+YQ%22">Liu YQ</searchLink>; Nanjing Foreign Language School, Nanjing, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Hong+YZ%22">Hong YZ</searchLink>; Nanjing Foreign Language School, Nanjing, Jiangsu, People's Republic of China.<br /><searchLink fieldCode="AU" term="%22Guo+MH%22">Guo MH</searchLink>; Yangzhou Blood Station, Yangzhou, Jiangsu, People's Republic of China. guominghua66@sina.com.<br /><searchLink fieldCode="AU" term="%22Xue+H%22">Xue H</searchLink>; School of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, People's Republic of China. hxue@seu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Liang+WB%22">Liang WB</searchLink>; Jiangsu Province Blood Center, Nanjing, Jiangsu, People's Republic of China. wenbiaoliang@hotmail.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2022 Nov 10; Vol. 12 (1), pp. 19165. <i>Date of Electronic Publication: </i>2022 Nov 10. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36357435 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-022-21215-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 19165 Titles: – TitleFull: Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu HY – PersonEntity: Name: NameFull: Li ZG – PersonEntity: Name: NameFull: Sun XK – PersonEntity: Name: NameFull: Bai WM – PersonEntity: Name: NameFull: Wang AD – PersonEntity: Name: NameFull: Ma YC – PersonEntity: Name: NameFull: Diao RH – PersonEntity: Name: NameFull: Fan EY – PersonEntity: Name: NameFull: Zhao F – PersonEntity: Name: NameFull: Liu YQ – PersonEntity: Name: NameFull: Hong YZ – PersonEntity: Name: NameFull: Guo MH – PersonEntity: Name: NameFull: Xue H – PersonEntity: Name: NameFull: Liang WB IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 11 Text: 2022 Nov 10 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2045-2322 Numbering: – Type: volume Value: 12 – Type: issue Value: 1 Titles: – TitleFull: Scientific reports Type: main |
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