Development and validation of multivariable machine learning algorithms to predict risk of cancer in symptomatic patients referred urgently from primary care: a diagnostic accuracy study

• Richard D Neal,
• Nisha Sharma,
• Colin Johnston,
• Richard Savage,
• Sean Duffy,
• Geoff Hall,
• Peter Selby,
• Matthew D Neal,
• Bethany Shinkins,
• Mike Messenger,
• Rosie Ferguson,
• Katherine L Lloyd,
• Nigel Sansom,
• Jim R Skinner,
• Giles Tully

Affiliations

Richard D Neal

senior lecturer

Nisha Sharma

Breast Unit, St James’s Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK

Colin Johnston

medical entomologist

Richard Savage

3University of Warwick, Coventry, UK

Sean Duffy

senior lecturer

Geoff Hall

Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK

Peter Selby

Centre for Addiction and Mental Health, Toronto, Ontario, Canada

Matthew D Neal

Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA

Bethany Shinkins

5 Test Evaluation Group, Leeds Institute for Health Sciences, University of Leeds, Leeds, UK

Mike Messenger

Leeds Centre for Personalised Medicine and Health, University of Leeds, Leeds, UK

Rosie Ferguson

PinPoint Data Science Ltd, Leeds, UK

Katherine L Lloyd

PinPoint Data Science Ltd, Leeds, UK

Nigel Sansom

PinPoint Data Science Ltd, Leeds, UK

Jim R Skinner

PinPoint Data Science Ltd, Leeds, UK

Giles Tully

PinPoint Data Science Ltd, Leeds, UK