Author Correction: Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality

Affiliations

• ¹ Nuffield Department of Population Health, University of Oxford, Oxford, UK.
• ² Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
• ³ Diabetes Research Centre, University of Leicester, Leicester, UK.
• ⁴ College of Medicine and Public Health, Flinders University, Adelaide, Australia.
• ⁵ Centre of Sleep Science, School of Human Sciences, University of Western Australia, Crawley, WA, Australia.
• ⁶ West Australian Sleep Disorders Research Institute, Department of Pulmonary Physiology, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
• ⁷ Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA.
• ⁸ Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
• ⁹ NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
• ¹⁰ NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK.
• ¹¹ Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK.
• ¹² Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
• ¹³ Curtin School of Allied Health, Curtin University, Perth, WA, Australia.
• ¹⁴ Health Futures Institute, Murdoch University, Perth, WA, Australia.
• ¹⁵ Sir Jules Thorn Sleep & Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
• ¹⁶ Nuffield Department of Population Health, University of Oxford, Oxford, UK. aiden.doherty@ndph.ox.ac.uk.
• ¹⁷ Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. aiden.doherty@ndph.ox.ac.uk.