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 |
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