Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods.
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| Title: | Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods. |
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| Authors: | Wang, Hsiao-Wei1 (AUTHOR), Huang, Yen-Chun2 (AUTHOR), Fang, Yu-Wei3,4 (AUTHOR), Jang, Tsrang-Neng1,4 (AUTHOR), Chen, Mingchih5,6 (AUTHOR), Tsai, Ming-Hsien3,4 (AUTHOR) chaosmyth.tw@gmail.com |
| Source: | Scientific Reports. 4/16/2025, Vol. 15 Issue 1, p1-13. 13p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 184520078 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=184520078 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-025-97787-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Titles: – TitleFull: Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Hsiao-Wei – PersonEntity: Name: NameFull: Huang, Yen-Chun – PersonEntity: Name: NameFull: Fang, Yu-Wei – PersonEntity: Name: NameFull: Jang, Tsrang-Neng – PersonEntity: Name: NameFull: Chen, Mingchih – PersonEntity: Name: NameFull: Tsai, Ming-Hsien IsPartOfRelationships: – BibEntity: Dates: – D: 16 M: 04 Text: 4/16/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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