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Dexter Canoy is an epidemiologist at the University of Oxford. He has research interests in using large-scale biomedical data as discovery tools for identifying determinants of population health and understanding chronic disease aetiology. He is involved in Deep Medicine, a programme of research being led by Dr. Kazem Rahimi, which aims to combine expertise in medicine, epidemiology and machine intelligence in using ‘Big Data’ to improve health and clinical care. His work into women's vascular health determinants currently explores the feasibility of using electronic health records to examine the relation of hypertensive disorders of pregnancy and risks of postpartum hypertension and cardiovascular disease.
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Hypertension (Dallas, Tex. : 1979)no. 11 (2023): 2293-2302
Hugo Calero-Díaz, Rebeen Ali Hamad,Christian Atallah,John Casement,Dexter Canoy,Nick J. Reynolds, Michael Barnes,Paolo Missier
2023 IEEE International Conference on Big Data (BigData)pp.3679-3687, (2023)
Scientific reportsno. 1 (2023): 11478-11
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EUROPEAN HEART JOURNALno. 42 (2023): 4448-4457
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