Predicting mortality in patients with nonvariceal upper gastrointestinal bleeding using machine-learning

BACKGROUND: Non-endoscopic risk scores, Glasgow Blatchford (GBS) and admission Rockall (Rock), are limited by poor specificity. The aim of this study was to develop an Artificial Neural Network (ANN) for the non-endoscopic triage of nonvariceal upper gastrointestinal bleeding (NVUGIB), with mortalit...

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Detalles Bibliográficos
Autores principales: Ungureanu, Bogdan Silviu, Gheonea, Dan Ionut, Florescu, Dan Nicolae, Iordache, Sevastita, Cazacu, Sergiu Marian, Iovanescu, Vlad Florin, Rogoveanu, Ion, Turcu-Stiolica, Adina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982090/
https://www.ncbi.nlm.nih.gov/pubmed/36873879
http://dx.doi.org/10.3389/fmed.2023.1134835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982090/
https://www.ncbi.nlm.nih.gov/pubmed/36873879
http://dx.doi.org/10.3389/fmed.2023.1134835

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