Digital Library
Close Browse articles from a journal
 
<< previous    next >>
     Journal description
       All volumes of the corresponding journal
         All issues of the corresponding volume
           All articles of the corresponding issues
                                       Details for article 39 of 41 found articles
 
 
  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
 
 
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
Author: ten Hove, D.
Slart, R. H. J. A.
Glaudemans, A. W. J. M.
Postma, D. F.
Gomes, A.
Swart, L. E.
Tanis, W.
Geel, P. P. van
Mecozzi, G.
Budde, R. P. J.
Mouridsen, K.
Sinha, B.
Appeared in: European journal of nuclear medicine and molecular imaging
Paging: Volume 51 () nr. 13 pages 3924-3933
Year: 2024-06-21
Contents:
Publisher: Springer Berlin Heidelberg, Berlin/Heidelberg
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 39 of 41 found articles
 
<< previous    next >>
 
 Koninklijke Bibliotheek - National Library of the Netherlands