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dc.contributor.authorNakao, Y
dc.contributor.authorNadarajah, R
dc.contributor.authorNakao, K
dc.contributor.authorWu, J
dc.contributor.authorGale, C
dc.date.accessioned2023-08-04T14:02:44Z
dc.date.available2023-06-29
dc.date.available2023-08-04T14:02:44Z
dc.identifier.issn2044-6055
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/89987
dc.publisherBMJ Publishing Groupen_US
dc.relation.ispartofBMJ Open
dc.rightsThis is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
dc.titlePredicting incident heart failure from population-based nationwide electronic health records: protocol for a model development and validation studyen_US
dc.typeArticleen_US
dc.rights.holder© Author(s) (or their employer(s)) 2024.
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2023-06-29


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