Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Commentary

Ananya Das; Tamir BEN-MENACHEM; Gregory S Cooper; Amitabh Chak; Michael V Sivak; Judith A Gonet; Richard C. K Wong; Simon S Cross; Robert F Harrison; David S Sanders

Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Commentary

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Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Commentary

Ananya Das, Tamir BEN-MENACHEM, Gregory S Cooper, Amitabh Chak, Michael V Sivak, Judith A Gonet, Richard C. K Wong, Simon S Cross, Robert F Harrison and David S Sanders

The Lancet (British edition), Vol.362(9392), pp.1250-1251

2003

Abstract

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Biological and medical sciences

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Title: Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Commentary
Creators: Ananya Das - Case Western Reserve University
Tamir BEN-MENACHEM - Henry Ford Hospital
Gregory S Cooper - Case Western Reserve University
Amitabh Chak - Case Western Reserve University
Michael V Sivak - Case Western Reserve University
Judith A Gonet - Case Western Reserve University
Richard C. K Wong - Case Western Reserve University
Simon S Cross - University of Sheffield
Robert F Harrison - University of Sheffield
David S Sanders - Department of Gastroenterology, Sheffield Teaching Hospitals NHS Trust, United Kingdom
Publication Details: The Lancet (British edition), Vol.362(9392), pp.1250-1251
Publisher: Lancet
Identifiers: 991005968815202656
Academic Unit: Internal Medicine
Language: English
Resource Type: Journal article

Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model. Commentary

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