Beyond traditional scores: a critical look at machine learning approaches in cardiovascular risk assessment
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Funder: British Heart Foundation; doi: https://doi.org/10.13039/501100000274; Grant(s): RG/18/13/33946: RG/F/23/110103
Funder: Health Data Research UK; doi: https://doi.org/10.13039/501100023699
Funder: UK Medical Research Council; doi: https://doi.org/10.13039/501100000265
Funder: Engineering and Physical Sciences Research Council; doi: https://doi.org/10.13039/501100000266
Funder: Economic and Social Research Council; doi: https://doi.org/10.13039/501100000269
Funder: Department of Health and Social Care (England); doi: https://doi.org/10.13039/501100000276
Funder: Chief Scientist Office of the Scottish Government Health and Social Care Directorates; doi: https://doi.org/10.13039/100014589
Funder: Health and Social Care Research and Development Division; doi: https://doi.org/10.13039/501100010756
Funder: Public Health Agency; doi: https://doi.org/10.13039/501100001626
Funder: Wellcome Trust; doi: https://doi.org/10.13039/100010269
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BHF Chair Award (CH/12/2/29428)
Cambridge BHF Centre of Research Excellence (RE/24/130011, RE/18/1/34212)