Vasodilator stress perfusion CMR combined with basic clinical information as a robust predictor of ten year survival: the benefits of machine learning
dc.contributor.author | Petersen, S | en_US |
dc.contributor.author | Aung, N | en_US |
dc.date.accessioned | 2022-07-04T14:01:09Z | |
dc.date.available | 2022-06-30 | en_US |
dc.date.issued | 2022-08-17 | en_US |
dc.identifier.issn | 1936-878X | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/79265 | |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | JACC: Cardiovascular Imaging | en_US |
dc.title | Vasodilator stress perfusion CMR combined with basic clinical information as a robust predictor of ten year survival: the benefits of machine learning | en_US |
dc.type | Article | |
dc.rights.holder | © 2022, American College of Cardiology Foundation. Published by Elsevier | |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
dcterms.dateAccepted | 2022-06-30 | en_US |