Samuel Relton

Associate Professor in Health Data Science

University of Leeds
Country flagUnited Kingdom

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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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2025

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2024

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2024

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2024

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2024

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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

UNITED KINGDOM
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Farag Shuweihdi

Senior Lecturer in Biostatistics

University of Leeds School of Medicine

UNITED KINGDOM
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Danushka Bollegala

University of Liverpool

UNITED KINGDOM
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Andrew Clegg

Professor of Geriatric Medicine

University of Leeds

UNITED KINGDOM
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Allan House

Professor of liaison psychiatry

University of Leeds

UNITED KINGDOM
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Jonathan Evans

University of Bristol

UNITED KINGDOM
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Maurice O'Connell

The University of Manchester

UNITED KINGDOM
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Robert West

Professor of Biostatistics

University of Leeds

UNITED KINGDOM
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Jane Alty

Associate Professor of Neurology

University of Tasmania

AUSTRALIA
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Suzanne Richards

University of Leeds

UNITED KINGDOM
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Sarah Kingsbury

Associate Professor

University of Leeds

UNITED KINGDOM
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Matthew J. Allsop

University of Leeds

UNITED KINGDOM
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Frances Mair

Professor

University of Glasgow

UNITED KINGDOM
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Layik Hama

University of Leeds

UNITED KINGDOM
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Harriet Cant

The University of Manchester

UNITED KINGDOM
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Daniel Romeu

University of Leeds Leeds Institute of Health Sciences

UNITED KINGDOM
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