Hybridizing machine learning in survival analysis of cardiac PET/CT imaging-Reference-Cited by-同舟云学术

Hybridizing machine learning in survival analysis of cardiac PET/CT imaging

Published:2023-12 Issue:6 Volume:30 Page:2750-2759
ISSN:1071-3581
Container-title:Journal of Nuclear Cardiology
language:en
Short-container-title:Journal of Nuclear Cardiology

Author:

Juarez-Orozco Luis Eduardo,Niemi Mikael,Yeung Ming Wai,Benjamins Jan Walter,Maaniitty Teemu,Teuho Jarmo,Saraste Antti,Knuuti Juhani,van der Harst Pim,Klén Riku

Funder

University of Turku (UTU) including Turku University Central Hospital

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s12350-023-03359-4.pdf

Reference27 articles.

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3. Prognostic value of coronary CT angiography with selective PET perfusion imaging in coronary artery disease;Maaniitty;JACC Cardiovasc Imaging,2017

4. SCCT guidelines for the interpretation and reporting of coronary computed tomographic angiography;Raff;J Cardiovasc Comput Tomogr,2019

5. Greedy function approximation: a gradient boosting machine;Friedman;Ann Stat,2001

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