Predicting risk of ascending thoracic aortic aneurysm in asymptomatic adults using machine learning.
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| Title: | Predicting risk of ascending thoracic aortic aneurysm in asymptomatic adults using machine learning. |
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| Authors: | Lee, Seung Jae1 (AUTHOR), Ahn, Jin Hee2 (AUTHOR), Cho, Eun-Ah2 (AUTHOR), Jeon, Suyong2 (AUTHOR), Oh, Eun Jung2 (AUTHOR), Shim, Jae-Geum2,3 (AUTHOR) jgshim77@naver.com |
| Source: | PLoS ONE. 2/12/2026, Vol. 21 Issue 2, p1-10. 10p. |
| 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: 191547150 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=191547150 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0342482 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1 Titles: – TitleFull: Predicting risk of ascending thoracic aortic aneurysm in asymptomatic adults using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lee, Seung Jae – PersonEntity: Name: NameFull: Ahn, Jin Hee – PersonEntity: Name: NameFull: Cho, Eun-Ah – PersonEntity: Name: NameFull: Jeon, Suyong – PersonEntity: Name: NameFull: Oh, Eun Jung – PersonEntity: Name: NameFull: Shim, Jae-Geum IsPartOfRelationships: – BibEntity: Dates: – D: 12 M: 02 Text: 2/12/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 21 – Type: issue Value: 2 Titles: – TitleFull: PLoS ONE Type: main |
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