Samuel Relton
Associate Professor in Health Data Science
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About
Samuel Relton is an Associate Professor in Health Data Science at the University of Leeds, UK. His research focuses on predictive modeling in healthcare, particularly in the areas of primary care predictions, digital advance care planning, and the use of deep learning for health outcome predictions. Recent publications include analyses of postoperative fractures, the effectiveness of structured medication reviews, and the integration of NHS data for evaluating mental health services.
Articles (10)
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2025
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2024
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2024
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2024
Collaborators (16)
Jonathan Lamb
Academic , Consultant Senior Lecturer in Trauma and Orthopaedics
University of Bristol
Farag Shuweihdi
Senior Lecturer in Biostatistics
University of Leeds School of Medicine
Danushka Bollegala
University of Liverpool
Andrew Clegg
Professor of Geriatric Medicine
University of Leeds
Allan House
Professor of liaison psychiatry
University of Leeds
Jonathan Evans
University of Bristol
Maurice O'Connell
The University of Manchester
Robert West
Professor of Biostatistics
University of Leeds
Jane Alty
Associate Professor of Neurology
University of Tasmania
Suzanne Richards
University of Leeds
Sarah Kingsbury
Associate Professor
University of Leeds
Matthew J. Allsop
University of Leeds
Frances Mair
Professor
University of Glasgow
Layik Hama
University of Leeds
Harriet Cant
The University of Manchester
Daniel Romeu
University of Leeds Leeds Institute of Health Sciences
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