An explainable machine learning approach to predict fragility fractures and the identification of important features.
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| Title: | An explainable machine learning approach to predict fragility fractures and the identification of important features. |
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| Authors: | Borhan, Sayem1,2,3 (AUTHOR) borhana@mcmaster.ca, Papaioannou, Alexandra3,4,5 (AUTHOR), Adachi, Jonathan4 (AUTHOR), Acharya, Shrey6 (AUTHOR), Morin, Suzanne N.7,8 (AUTHOR), Goltzman, David7,8 (AUTHOR), Hanley, David A.9 (AUTHOR), Berger, Claudie8 (AUTHOR), Thabane, Lehana1,2,3 (AUTHOR), Raina, Parminder1,3 (AUTHOR) |
| Source: | Scientific Reports. 6/2/2026, Vol. 16 Issue 1, p1-11. 11p. |
| 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: 194225098 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=194225098 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-026-49494-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Titles: – TitleFull: An explainable machine learning approach to predict fragility fractures and the identification of important features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Borhan, Sayem – PersonEntity: Name: NameFull: Papaioannou, Alexandra – PersonEntity: Name: NameFull: Adachi, Jonathan – PersonEntity: Name: NameFull: Acharya, Shrey – PersonEntity: Name: NameFull: Morin, Suzanne N. – PersonEntity: Name: NameFull: Goltzman, David – PersonEntity: Name: NameFull: Hanley, David A. – PersonEntity: Name: NameFull: Berger, Claudie – PersonEntity: Name: NameFull: Thabane, Lehana – PersonEntity: Name: NameFull: Raina, Parminder IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 06 Text: 6/2/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20452322 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Scientific Reports Type: main |
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