학술논문

Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach
Document Type
Article
Author
Rosenfeld, AviGraham, David GJevons, SarahAriza, JoseHagan, DarylWilson, AshLovat, Samuel JSami, Sarmed SAhmad, Omer FNovelli, MarcoRodriguez Justo, ManuelWinstanley, AlisonHeifetz, Eliyahu MBen-Zecharia, MordehyNoiman, UriaFitzgerald, Rebecca CSasieni, PeterLovat, Laurence BCoker, KarenZhao, WanfengBrown, KathrynHaynes, BeverleyGrant, Tara Nuckcheddydi Pietro, MassimilianoDewhurst, EleanorAlias, BincyMills, LeanneWilson, CarolineBird-Lieberman, ElizabethBornschein, JanLim, YeanShariff, KareemLopez, Roberto CayadoUdarbe, MyrnaShaw, ClaireRose, GlynisSargeant, IanAl-Izzi, MSchimmel, RoisinGreen, ElizabethMoorghen, MorganKanani, ReshmaBaulf, MariannButcher, JayneButt, AdilBown, SteveLipman, GideonSweis, RamiSehgal, VinayBanks, MatthewHaidry, RehanLouis-Auguste, JohnKohoutova, DarinaKerr, SarahEneh, VictorButter, NigelMiah, HaroonButawan, RommelAdesina, GraceHolohan, SabrinaIdris, JoanHayes, NickWahed, ShajahanHoughton, Nelson KathHopton, MarcEastick, AnneMajumdar, DebasisManuf, KassemFieldson, LyndseyBailey, HelenOrtiz, Jacobo Fernandez-SordoPatel, MinaHenry, SuzanneWarburton, SamanthaWhite, JonathanGadeke, LisaLonghurst, BeverleyAbeseabe, RichmondBasford, PeterBhattacharyya, RupamElliot, ScottBevan, RoisinBrown, CarlyLaverick, PhilippaClifford, GayleGibbons, AnitaIngmire, JulieMawas, AbdullahHarvey, JacquelynCave, Sharon
Source
The Lancet Digital Health; January 2020, Vol. 2 Issue: 1 pe37-e48, 12p
Subject
Language
ISSN
25897500
Abstract
Screening for Barrett's oesophagus relies on endoscopy, which is invasive and few who undergo the procedure are found to have the condition. We aimed to use machine learning techniques to develop and externally validate a simple risk prediction panel to screen individuals for Barrett's oesophagus.