Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach

The Lancet Digital Health - Tập 2 - Trang e37-e48 - 2020
Avi Rosenfeld1,2, David G Graham2,3, Sarah Jevons2, Jose Ariza2,3, Daryl Hagan2, Ash Wilson2, Samuel J Lovat2, Sarmed S Sami2,3, Omer F Ahmad2,3, Marco Novelli4, Manuel Rodriguez Justo4, Alison Winstanley4, Eliyahu M Heifetz5, Mordehy Ben-Zecharia5, Uria Noiman5, Rebecca C Fitzgerald6, Peter Sasieni7,8, Laurence B Lovat2,3
1Department of Industrial Engineering, Jerusalem College of Technology, Jerusalem, Israel
2GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London, London, UK
3Gastrointestinal Services, University College London Hospital, London, UK
4Department of Pathology, University College London Hospital, London, UK
5Department of Health Informatics, Jerusalem College of Technology, Jerusalem, Israel
6MRC Cancer Unit, University of Cambridge, Cambridge, UK
7Cancer Prevention Trials Unit, Queen Mary University of London, London, UK
8School of Cancer and Pharmaceutical Sciences, King's College London, London, UK

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