APA (7th ed.) Citation

D, T. H., RHJA, S., AWJM, G., DF, P., A, G., LE, S., . . . B, S. (2024). 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. European journal of nuclear medicine and molecular imaging, 51(13), 3924. https://doi.org/10.1007/s00259-024-06774-y

Chicago Style (17th ed.) Citation

D, Ten Hove, et al. "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." European Journal of Nuclear Medicine and Molecular Imaging 51, no. 13 (2024): 3924. https://doi.org/10.1007/s00259-024-06774-y.

MLA (9th ed.) Citation

D, Ten Hove, et al. "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." European Journal of Nuclear Medicine and Molecular Imaging, vol. 51, no. 13, 2024, p. 3924, https://doi.org/10.1007/s00259-024-06774-y.