Development, validation and prospective clinical implementation of a machine learning algorithm for incident cardio-renal-metabolic diseases and cardiovascular death: the OPTIMISE study

Metadata

Item Type:	Conference or Workshop Item
Authors/Creators:	Nadarajah, R. Wahab, A. Reynolds, C. Hogg, D.C. https://orcid.org/0000-0002-6125-9564 Raveendra, K. Bennett, S. Nakao, Y.M. Nakao, K. Arbel, R. Haim, M. Zahger, D. Larvin, H. Cowan, J.C. Wu, J. Gale, C.P. https://orcid.org/0000-0003-4732-382X
Dates:	Published (online): 13 June 2024 Published: 13 June 2024
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Funding Information:	Funder Grant number British Heart Foundation Accounts Payable - Gloria Sankey CC/22/250026 NIHR National Inst Health Research NIHR204580 NIHR National Inst Health Research UBTB Bid No 035 22/23 Leeds Hospitals Charity A2002295 FL03
Depositing User:	Symplectic Publications
Date Deposited:	24 Jul 2025 08:45
Last Modified:	24 Jul 2025 08:45
Published Version:	https://academic.oup.com/eurjpc/article/31/Supplem...
Status:	Published
Publisher:	Oxford University Press (OUP)
Identification Number:	10.1093/eurjpc/zwae175.312
Sustainable Development Goals:
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:229223

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