Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes
dc.contributor.author | Hayward, C | |
dc.contributor.author | Batty, J | |
dc.contributor.author | Westhead, D | |
dc.contributor.author | Johnson, O | |
dc.contributor.author | Gale, C | |
dc.contributor.author | Wu, J | |
dc.contributor.author | Hall, M | |
dc.date.accessioned | 2023-08-31T14:34:17Z | |
dc.date.available | 2023-08-30 | |
dc.date.available | 2023-08-31T14:34:17Z | |
dc.identifier.issn | 2352-3964 | |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/90364 | |
dc.publisher | Elsevier | en_US |
dc.relation.ispartof | EBioMedicine | |
dc.rights | This is an open access article distributed under the terms of the Creative Commons CC-BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |
dc.title | Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes | en_US |
dc.type | Article | en_US |
dc.rights.holder | © 2023 The Authors. Published by Elsevier B.V. | |
pubs.notes | Not known | en_US |
pubs.publication-status | Accepted | en_US |
dcterms.dateAccepted | 2023-08-30 |