Back to Search Start Over

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

Authors :
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
Coker, Karen
Zhao, Wanfeng
Brown, Kathryn
Haynes, Beverley
Grant, Tara Nuckcheddy
di Pietro, Massimiliano
Dewhurst, Eleanor
Alias, Bincy
Mills, Leanne
Wilson, Caroline
Bird-Lieberman, Elizabeth
Bornschein, Jan
Lim, Yean
Shariff, Kareem
Lopez, Roberto Cayado
Udarbe, Myrna
Shaw, Claire
Rose, Glynis
Sargeant, Ian
Al-Izzi, M
Schimmel, Roisin
Green, Elizabeth
Moorghen, Morgan
Kanani, Reshma
Baulf, Mariann
Butcher, Jayne
Butt, Adil
Bown, Steve
Lipman, Gideon
Sweis, Rami
Sehgal, Vinay
Banks, Matthew
Haidry, Rehan
Louis-Auguste, John
Kohoutova, Darina
Kerr, Sarah
Eneh, Victor
Butter, Nigel
Miah, Haroon
Butawan, Rommel
Adesina, Grace
Holohan, Sabrina
Idris, Joan
Hayes, Nick
Wahed, Shajahan
Houghton, Nelson Kath
Hopton, Marc
Eastick, Anne
Majumdar, Debasis
Manuf, Kassem
Fieldson, Lyndsey
Bailey, Helen
Ortiz, Jacobo Fernandez-Sordo
Patel, Mina
Henry, Suzanne
Warburton, Samantha
White, Jonathan
Gadeke, Lisa
Longhurst, Beverley
Abeseabe, Richmond
Basford, Peter
Bhattacharyya, Rupam
Elliot, Scott
Bevan, Roisin
Brown, Carly
Laverick, Philippa
Clifford, Gayle
Gibbons, Anita
Ingmire, Julie
Mawas, Abdullah
Harvey, Jacquelyn
Cave, Sharon
Source :
The Lancet Digital Health; January 2020, Vol. 2 Issue: 1 pe37-e48, 12p
Publication Year :
2020

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.

Details

Language :
English
ISSN :
25897500
Volume :
2
Issue :
1
Database :
Supplemental Index
Journal :
The Lancet Digital Health
Publication Type :
Periodical
Accession number :
ejs51843090
Full Text :
https://doi.org/10.1016/S2589-7500(19)30216-X