Using machine learning to improve the diagnostic accuracy of the modified Duke/ESC 2015 criteria in patients with suspected prosthetic valve endocarditis - a proof of concept study.
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| Title: | Using machine learning to improve the diagnostic accuracy of the modified Duke/ESC 2015 criteria in patients with suspected prosthetic valve endocarditis - a proof of concept study. |
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| Authors: | Ten Hove D; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Microbiology & Infection Prevention, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands. d.ten.hove@umcg.nl.; Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. d.ten.hove@umcg.nl., Slart RHJA; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Microbiology & Infection Prevention, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.; Biomedical Photonic Imaging group, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands., Glaudemans AWJM; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Microbiology & Infection Prevention, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands., Postma DF; Department of Internal Medicine and Infectious Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Gomes A; Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Swart LE; Department of Cardiology, Spaarne Gasthuis, Haarlem, The Netherlands., Tanis W; Department of Cardiology, HagaZiekenhuis, The Hague, The Netherlands., Geel PPV; Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Mecozzi G; Department of Cardiothoracic Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Budde RPJ; Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands., Mouridsen K; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Microbiology & Infection Prevention, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.; Department of Clinical Medicine, Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark., Sinha B; Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. |
| Source: | European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2024 Nov; Vol. 51 (13), pp. 3924-3933. Date of Electronic Publication: 2024 Jun 21. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Berlin Country of Publication: Germany NLM ID: 101140988 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1619-7089 (Electronic) Linking ISSN: 16197070 NLM ISO Abbreviation: Eur J Nucl Med Mol Imaging Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38904778 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using machine learning to improve the diagnostic accuracy of the modified Duke/ESC 2015 criteria in patients with suspected prosthetic valve endocarditis - a proof of concept study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ten+Hove+D%22">Ten Hove D</searchLink>; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Microbiology & Infection Prevention, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands. d.ten.hove@umcg.nl.; Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. d.ten.hove@umcg.nl.<br /><searchLink fieldCode="AU" term="%22Slart+RHJA%22">Slart RHJA</searchLink>; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Microbiology & Infection Prevention, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.; Biomedical Photonic Imaging group, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Glaudemans+AWJM%22">Glaudemans AWJM</searchLink>; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Microbiology & Infection Prevention, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Postma+DF%22">Postma DF</searchLink>; Department of Internal Medicine and Infectious Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Gomes+A%22">Gomes A</searchLink>; Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Swart+LE%22">Swart LE</searchLink>; Department of Cardiology, Spaarne Gasthuis, Haarlem, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Tanis+W%22">Tanis W</searchLink>; Department of Cardiology, HagaZiekenhuis, The Hague, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Geel+PPV%22">Geel PPV</searchLink>; Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Mecozzi+G%22">Mecozzi G</searchLink>; Department of Cardiothoracic Surgery, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Budde+RPJ%22">Budde RPJ</searchLink>; Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Mouridsen+K%22">Mouridsen K</searchLink>; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Microbiology & Infection Prevention, Hanzeplein 1, Groningen, 9713 GZ, The Netherlands.; Department of Clinical Medicine, Center of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Sinha+B%22">Sinha B</searchLink>; Department of Medical Microbiology and Infection Prevention, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101140988%22">European journal of nuclear medicine and molecular imaging</searchLink> [Eur J Nucl Med Mol Imaging] 2024 Nov; Vol. 51 (13), pp. 3924-3933. <i>Date of Electronic Publication: </i>2024 Jun 21. – 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+Berlin%22">Springer-Verlag Berlin </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>101140988 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1619-7089 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216197070%22">16197070 </searchLink><i>NLM ISO Abbreviation: </i>Eur J Nucl Med Mol Imaging <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38904778 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00259-024-06774-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3924 Titles: – TitleFull: Using machine learning to improve the diagnostic accuracy of the modified Duke/ESC 2015 criteria in patients with suspected prosthetic valve endocarditis - a proof of concept study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ten Hove D – PersonEntity: Name: NameFull: Slart RHJA – PersonEntity: Name: NameFull: Glaudemans AWJM – PersonEntity: Name: NameFull: Postma DF – PersonEntity: Name: NameFull: Gomes A – PersonEntity: Name: NameFull: Swart LE – PersonEntity: Name: NameFull: Tanis W – PersonEntity: Name: NameFull: Geel PPV – PersonEntity: Name: NameFull: Mecozzi G – PersonEntity: Name: NameFull: Budde RPJ – PersonEntity: Name: NameFull: Mouridsen K – PersonEntity: Name: NameFull: Sinha B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2024 Nov Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1619-7089 Numbering: – Type: volume Value: 51 – Type: issue Value: 13 Titles: – TitleFull: European journal of nuclear medicine and molecular imaging Type: main |
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