Your browser doesn't support javascript.
loading
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality.
Yuan, Hang; Plekhanova, Tatiana; Walmsley, Rosemary; Reynolds, Amy C; Maddison, Kathleen J; Bucan, Maja; Gehrman, Philip; Rowlands, Alex; Ray, David W; Bennett, Derrick; McVeigh, Joanne; Straker, Leon; Eastwood, Peter; Kyle, Simon D; Doherty, Aiden.
Affiliation
  • Yuan H; Nuffield Department of Population Health, University of Oxford, UK.
  • Plekhanova T; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK.
  • Walmsley R; Diabetes Research Centre, University of Leicester, UK.
  • Reynolds AC; Nuffield Department of Population Health, University of Oxford, UK.
  • Maddison KJ; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK.
  • Bucan M; College of Medicine and Public Health, Flinders University, Australia.
  • Gehrman P; Centre of Sleep Science, School of Human Sciences, University of Western Australia, Australia.
  • Rowlands A; West Australian Sleep Disorders Research Institute, Department of Pulmonary Physiology, Sir Charles Gairdner Hospital, Australia.
  • Ray DW; Department of Genetics, University of Pennsylvania, USA.
  • Bennett D; Department of Psychiatry, University of Pennsylvania, USA.
  • McVeigh J; Diabetes Research Centre, University of Leicester, UK.
  • Straker L; NIHR Leicester Biomedical Research Centre, University of Leicester, UK.
  • Eastwood P; NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK.
  • Kyle SD; Nuffield Department of Population Health, University of Oxford, UK.
  • Doherty A; Medical Research Council Population Health Research Unit, University of Oxford, UK.
medRxiv ; 2023 Jul 08.
Article in En | MEDLINE | ID: mdl-37461532
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Health_technology_assessment / Prognostic_studies / Risk_factors_studies Aspects: Ethics Language: En Journal: MedRxiv Year: 2023 Document type: Article Affiliation country: Reino Unido Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Health_technology_assessment / Prognostic_studies / Risk_factors_studies Aspects: Ethics Language: En Journal: MedRxiv Year: 2023 Document type: Article Affiliation country: Reino Unido Country of publication: Estados Unidos