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Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach.
Rosenfeld, Avi; Graham, David G; Jevons, Sarah; Ariza, Jose; Hagan, Daryl; Wilson, Ash; Lovat, Samuel J; Sami, Sarmed S; Ahmad, Omer F; Novelli, Marco; Rodriguez Justo, Manuel; Winstanley, Alison; Heifetz, Eliyahu M; Ben-Zecharia, Mordehy; Noiman, Uria; Fitzgerald, Rebecca C; Sasieni, Peter; Lovat, Laurence B.
Affiliation
  • Rosenfeld A; Department of Industrial Engineering Jerusalem College of Technology (JCT), Jerusalem, Israel.
  • Graham DG; GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London (UCL), London, United Kingdom.
  • Jevons S; GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London (UCL), London, United Kingdom.
  • Ariza J; Gastrointestinal Services, University College London Hospital (UCLH), London, United Kingdom.
  • Hagan D; GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London (UCL), London, United Kingdom.
  • Wilson A; GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London (UCL), London, United Kingdom.
  • Lovat SJ; Gastrointestinal Services, University College London Hospital (UCLH), London, United Kingdom.
  • Sami SS; GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London (UCL), London, United Kingdom.
  • Ahmad OF; GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London (UCL), London, United Kingdom.
  • Rodriguez Justo M; GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London (UCL), London, United Kingdom.
  • Winstanley A; Gastrointestinal Services, University College London Hospital (UCLH), London, United Kingdom.
  • Heifetz EM; GENIE GastroENterological IntervEntion Group, Department for Targeted Intervention, University College London (UCL), London, United Kingdom.
  • Ben-Zecharia M; Gastrointestinal Services, University College London Hospital (UCLH), London, United Kingdom.
  • Noiman U; Dept of Pathology, University College London Hospital (UCLH), London, United Kingdom.
  • Fitzgerald RC; Dept of Pathology, University College London Hospital (UCLH), London, United Kingdom.
  • Sasieni P; Dept of Pathology, University College London Hospital (UCLH), London, United Kingdom.
  • Lovat LB; Department of Health Informatics, Jerusalem College of Technology (JCT), Jerusalem, Israel.
Lancet Digit Health ; 2(1): E37-E48, 2020 01 01.
Article in En | MEDLINE | ID: mdl-32133440

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Barrett Esophagus / Risk Assessment / Machine Learning Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Journal: Lancet Digit Health Year: 2020 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Barrett Esophagus / Risk Assessment / Machine Learning Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: En Journal: Lancet Digit Health Year: 2020 Document type: Article Affiliation country: Country of publication: