Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)
Author(s) -
Enzo Grossi,
Riccardo Marmo,
Marco Intraligi,
Massimo Buscema
Publication year - 2008
Publication title -
biomedical informatics insights
Language(s) - English
Resource type - Journals
ISSN - 1178-2226
DOI - 10.4137/bii.s814
Subject(s) - medicine , upper gastrointestinal bleeding , linear discriminant analysis , emergency medicine , surgery , endoscopy , artificial intelligence , computer science
Mortality for non variceal upper gastrointestinal bleeding (UGIB) is clinically relevant in the first 12-24 hours of the onset of haemorrhage and therefore identification of clinical factors predictive of the risk of death before endoscopic examination may allow for early corrective therapeutic intervention.
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