Background Heart failure (HF) guidelines recommend routine testing for iron deficiency (ID) and, for those with ID, ...
Dr Bernard Iung, Cardiology Department, Bichat Hospital, 46, rue Henri Huchard, 75018 Paris, France email: bernard.iung{at}bch.ap-hop-paris.fr If you wish to reuse ...
Department of Cardiovascular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK Correspondence to Professor Keith M Channon, Department of Cardiovascular Medicine, University of ...
Correspondence to Dr Prachi Bhatnagar, British Heart Foundation Centre on Population Approaches for Non-Communicable Disease Prevention, Nuffield Department of Population Health, Old Road Campus, ...
2 School of Medicine, The University of Queensland, Brisbane, Australia 3 Department of Epidemiology and Biostatistics, School of Population Health, The University of Queensland, Brisbane, Australia 4 ...
Department of Cardiology of the 2nd Affiliated Hospital of HarBin Medical University, HarBin, China Dr Bo Yv, Department of Cardiology of the 2nd Affiliated Hospital of HarBin Medical University, ...
1 Department of Cardiology Research, Barts and The London NHS Trust, London, UK 2 Department of Cardiology, The Heart Hospital, London, UK Objective To investigate whether catheter ablation of atrial ...
Small Area Health Statistics Unit, Department of Epidemiology and Public Health, Imperial College School of Medicine, St Mary’s Campus, Norfolk Place, London W2 1PG, UK Dr R Maheswaran, Section of ...
Correspondence to Dr José P S Henriques, Academic Medical Center, University of Amsterdam, Department of Cardiology, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; j.p.henriques{at}amc.uva.nl ...
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Correspondence to Dr Michael Papadakis, Cardiovascular Clinical Academic Group, St George's University of London, London SW17 0RE, UK; mipapada{at}sgul.ac.uk There is a paucity of studies looking at ...
Correspondence to Dr James Philip Howard, National Heart and Lung Institute, Imperial College London, London W12 0NN, UK; research{at}cardiologists.london Understand the paradigm of machine learning.