Development of a Novel Ulcerative Colitis Endoscopic Mayo Score Prediction Model Using Machine Learning

Development of a Novel Ulcerative Colitis Endoscopic Mayo Score Prediction Model Using Machine Learning

Background and Aims: Endoscopic assessment is a co-primary end point in inflammatory bowel disease registration trials, yet it is subject to inter- and intraobserver variability. We present an original machine learning approach to Endoscopic Mayo Score (eMS) prediction in ulcerative colitis and repo...

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Bibliographic Details
Main Authors: David T. Rubin, Klaus Gottlieb, Jean-Frederic Colombel, Jean-Pierre Schott, Lavi Erisson, Bill Prucka, Sloane Allebes Phillips, John Kwon, Jonathan Ng, James McGill
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Gastro Hep Advances
Subjects:
Inflammatory Bowel Disease
Central Reading
Artificial Intelligence
Deep Supervision
Online Access:http://www.sciencedirect.com/science/article/pii/S2772572323000869

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http://www.sciencedirect.com/science/article/pii/S2772572323000869

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