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Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity.

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Title: Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity.
Authors: Pineda-Moncusí M; Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK., Allery F; Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK., Delmestri A; Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK., Bolton T; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK., Nolan J; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK., Thygesen JH; Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK., Handy A; Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK., Banerjee A; Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK., Denaxas S; Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK.; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK.; University College London Hospitals Biomedical Research Centre, University College London, London, UK., Tomlinson C; Institute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK.; University College London Hospitals Biomedical Research Centre, University College London, London, UK.; UK Research and Innovation Centre for Doctoral Training in AI-enabled Healthcare Systems, University College London, London, UK., Denniston AK; University Hospitals Birmingham NHS Foundation Trust (NHSFT), Birmingham, UK., Sudlow C; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK., Akbari A; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, Wales, UK., Wood A; British Heart Foundation Data Science Centre, Health Data Research UK, London, UK.; British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.; Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK., Collins GS; Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK., Petersen I; Department of Primary Care and Population Health, UCL, London, NW3 2PF, UK.; Department of Clinical Epidemiology, Aarhus University, Aarhus N, Aarhus, 8200, Denmark., Coates LC; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK., Khunti K; Diabetes Research Centre, University of Leicester, Leicester, UK., Prieto-sAlhambra D; Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.; Department of Medical Informatics, Erasmus MC University Medical Centre Rotterdam, Rotterdam, The Netherlands., Khalid S; Centre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK. sara.khalid@ndorms.ox.ac.uk.
Corporate Authors: CVD-COVID-UK/COVID-IMPACT Consortium
Source: Scientific data [Sci Data] 2024 Feb 22; Vol. 11 (1), pp. 221. Date of Electronic Publication: 2024 Feb 22.
Publication Type: Dataset; Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
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