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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Detalles Bibliográficos
Autores principales: Veisman, Ido, Oppenheim, Amit, Maman, Ronny, Kofman, Nadav, Edri, Ilan, Dar, Lior, Klang, Eyal, Sina, Sigal, Gabriely, Daniel, Levy, Idan, Beylin, Dmitry, Beylin, Ortal, Shekel, Efrat, Horesh, Nir, Kopylov, Uri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573673/
https://www.ncbi.nlm.nih.gov/pubmed/36233760
http://dx.doi.org/10.3390/jcm11195893

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573673/
https://www.ncbi.nlm.nih.gov/pubmed/36233760
http://dx.doi.org/10.3390/jcm11195893

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