Artificial neural networks accurately predict mortality in patients with nonvariceal upper GI bleeding.

Abstract

BACKGROUND Risk stratification systems that accurately identify patients with a high risk for bleeding through the use of clinical predictors of mortality before endoscopic examination are needed. Computerized (artificial) neural networks (ANNs) are adaptive tools that may improve prognostication. OBJECTIVE To assess the capability of an ANN to predict… (More)
DOI: 10.1016/j.gie.2010.10.006

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