A Novel Prediction Tool for Endoscopic Intervention in Patients with Acute Upper Gastro-Intestinal Bleeding

A Novel Prediction Tool for Endoscopic Intervention in Patients with Acute Upper Gastro-Intestinal Bleeding

(1) Background: Predicting which patients with upper gastro-intestinal bleeding (UGIB) will receive intervention during urgent endoscopy can allow for better triaging and resource utilization but remains sub-optimal. Using machine learning modelling we aimed to devise an improved endoscopic interven...

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Bibliographic Details
Main Authors: Ido Veisman, Amit Oppenheim, Ronny Maman, Nadav Kofman, Ilan Edri, Lior Dar, Eyal Klang, Sigal Sina, Daniel Gabriely, Idan Levy, Dmitry Beylin, Ortal Beylin, Efrat Shekel, Nir Horesh, Uri Kopylov
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Clinical Medicine
Subjects:
upper GI bleeding
machine learning
Glasgow-Blatchford score (GBS)
pre-endoscopic Rockall score
Online Access:https://www.mdpi.com/2077-0383/11/19/5893

Internet

https://www.mdpi.com/2077-0383/11/19/5893

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