PTH-129 Machine Learning Creates A Simple Endoscopic Classification System that Improves Dysplasia D...
PTH-129 Machine Learning Creates A Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus in Non-Expert Endoscopists
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Author / Creator
Sehgal, V , Rosenfeld, A , Graham, D , Lipman, G , Bisschops, R , Ragunath, K , Banks, M , Haidry, R and Lovat, L
Publisher
London: BMJ Publishing Group LTD
Journal title
Language
English
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Publisher
London: BMJ Publishing Group LTD
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Contents
IntroductionBarrett’s Oesophagus (BE) is the pre-cursor to oesophageal adenocarcinoma. Endoscopic surveillance is performed to detect dysplasia in BE as it is likely to be treatable. Machine Learning (ML) is a technology that generates simple rules, known as a Decision Tree (DT). Using a DT generated from Expert Endoscopists (EE), we hypothesised t...
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Full title
PTH-129 Machine Learning Creates A Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus in Non-Expert Endoscopists
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TN_cdi_proquest_journals_2043356464
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2043356464
Other Identifiers
ISSN
0017-5749
E-ISSN
1468-3288
DOI
10.1136/gutjnl-2016-312388.532
