Feasibility of multiorgan risk prediction with routinely collected diagnostics: a prospective cohort study in the UK Biobank.
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| Title: | Feasibility of multiorgan risk prediction with routinely collected diagnostics: a prospective cohort study in the UK Biobank. |
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| Authors: | McCracken C; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, and Oxford University Hospitals NHS Foundation Trust, Oxford, UK celeste.mccracken@cardiov.ox.ac.uk., Raisi-Estabragh Z; William Harvey Research Institute, Queen Mary University of London, London, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK., Szabo L; William Harvey Research Institute, Queen Mary University of London, London, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.; Heart and Vascular Center, Semmelweis University, Budapest, Hungary., Veldsman M; Department of Experimental Psychology, University of Oxford, Oxford, UK., Raman B; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, and Oxford University Hospitals NHS Foundation Trust, Oxford, UK., Topiwala A; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK., Roca-Fernández A; Perspectum Ltd, Oxford, UK., Husain M; Department of Experimental Psychology, University of Oxford, Oxford, UK.; Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, UK.; Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK., Petersen SE; William Harvey Research Institute, Queen Mary University of London, London, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.; Health Data Research UK, London, UK.; Alan Turing Institute, London, UK., Neubauer S; Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, and Oxford University Hospitals NHS Foundation Trust, Oxford, UK., Nichols TE; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK.; Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, UK. |
| Source: | BMJ evidence-based medicine [BMJ Evid Based Med] 2024 Sep 20; Vol. 29 (5), pp. 313-323. Date of Electronic Publication: 2024 Sep 20. |
| Publication Type: | Journal Article; Observational Study |
| Journal Info: | Publisher: BMJ Publishing Group Country of Publication: England NLM ID: 101719009 Publication Model: Electronic Cited Medium: Internet ISSN: 2515-4478 (Electronic) Linking ISSN: 2515446X NLM ISO Abbreviation: BMJ Evid Based Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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