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
Titel:
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
Auteur:
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.
Verschenen in:
European journal of nuclear medicine and molecular imaging