Machine Learning to Predict Prostate Artery Embolization Outcomes.
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| Title: | Machine Learning to Predict Prostate Artery Embolization Outcomes. |
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| Authors: | Vigneswaran G; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.; Faculty of Medicine, Cancer Sciences, University of Southampton, Southampton, UK., Doshi N; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.; Faculty of Medicine, Cancer Sciences, University of Southampton, Southampton, UK., Maclean D; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK., Bryant T; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK., Harris M; Department of Urology, University Hospital Southampton, Southampton, UK., Hacking N; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK., Farrahi K; Department of Electronics and Computer Science, University of Southampton, Southampton, UK., Niranjan M; Department of Electronics and Computer Science, University of Southampton, Southampton, UK., Modi S; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK. sachin.modi@uhs.nhs.uk. |
| Source: | Cardiovascular and interventional radiology [Cardiovasc Intervent Radiol] 2024 Sep; Vol. 47 (9), pp. 1248-1254. Date of Electronic Publication: 2024 Jun 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Verlag Country of Publication: United States NLM ID: 8003538 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-086X (Electronic) Linking ISSN: 01741551 NLM ISO Abbreviation: Cardiovasc Intervent Radiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38896298 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Machine Learning to Predict Prostate Artery Embolization Outcomes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Vigneswaran+G%22">Vigneswaran G</searchLink>; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.; Faculty of Medicine, Cancer Sciences, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Doshi+N%22">Doshi N</searchLink>; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.; Faculty of Medicine, Cancer Sciences, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Maclean+D%22">Maclean D</searchLink>; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Bryant+T%22">Bryant T</searchLink>; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Harris+M%22">Harris M</searchLink>; Department of Urology, University Hospital Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Hacking+N%22">Hacking N</searchLink>; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Farrahi+K%22">Farrahi K</searchLink>; Department of Electronics and Computer Science, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Niranjan+M%22">Niranjan M</searchLink>; Department of Electronics and Computer Science, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Modi+S%22">Modi S</searchLink>; Department of Interventional Radiology, University Hospital Southampton, Southampton, UK. sachin.modi@uhs.nhs.uk. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228003538%22">Cardiovascular and interventional radiology</searchLink> [Cardiovasc Intervent Radiol] 2024 Sep; Vol. 47 (9), pp. 1248-1254. <i>Date of Electronic Publication: </i>2024 Jun 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8003538 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-086X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201741551%22">01741551 </searchLink><i>NLM ISO Abbreviation: </i>Cardiovasc Intervent Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38896298 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00270-024-03776-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1248 Titles: – TitleFull: Machine Learning to Predict Prostate Artery Embolization Outcomes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vigneswaran G – PersonEntity: Name: NameFull: Doshi N – PersonEntity: Name: NameFull: Maclean D – PersonEntity: Name: NameFull: Bryant T – PersonEntity: Name: NameFull: Harris M – PersonEntity: Name: NameFull: Hacking N – PersonEntity: Name: NameFull: Farrahi K – PersonEntity: Name: NameFull: Niranjan M – PersonEntity: Name: NameFull: Modi S IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2024 Sep Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1432-086X Numbering: – Type: volume Value: 47 – Type: issue Value: 9 Titles: – TitleFull: Cardiovascular and interventional radiology Type: main |
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