Machine learning to predict stroke risk from routine hospital data: A systematic review.
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| Title: | Machine learning to predict stroke risk from routine hospital data: A systematic review. |
|---|---|
| Authors: | Heseltine-Carp, William1 (AUTHOR) w.heseltine-carp@nhs.net, Courtman, Megan1,2 (AUTHOR) megan.courtman@plymouth.ac.uk, Browning, Daniel1 (AUTHOR) daniel.browning@nhs.net, Kasabe, Aishwarya1 (AUTHOR) aishwarya.kasabe@plymouth.ac.uk, Allen, Michael3 (AUTHOR) m.allen@exeter.ac.uk, Streeter, Adam4 (AUTHOR) adam.streeter@plymouth.ac.uk, Ifeachor, Emmanuel4,5 (AUTHOR) e.ifeachor@plymouth.ac.uk, James, Martin6 (AUTHOR) martinjames@nhs.net, Mullin, Stephen1 (AUTHOR) stephen.mullin@plymouth.ac.uk |
| Source: | International Journal of Medical Informatics. Apr2025, Vol. 196, pN.PAG-N.PAG. 1p. |
| Database: | Academic Search Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 183241997 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=183241997 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ijmedinf.2025.105811 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Titles: – TitleFull: Machine learning to predict stroke risk from routine hospital data: A systematic review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Heseltine-Carp, William – PersonEntity: Name: NameFull: Courtman, Megan – PersonEntity: Name: NameFull: Browning, Daniel – PersonEntity: Name: NameFull: Kasabe, Aishwarya – PersonEntity: Name: NameFull: Allen, Michael – PersonEntity: Name: NameFull: Streeter, Adam – PersonEntity: Name: NameFull: Ifeachor, Emmanuel – PersonEntity: Name: NameFull: James, Martin – PersonEntity: Name: NameFull: Mullin, Stephen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13865056 Numbering: – Type: volume Value: 196 Titles: – TitleFull: International Journal of Medical Informatics Type: main |
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