Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model
@article{Das2003PredictionOO, title={Prediction of outcome in acute lower-gastrointestinal haemorrhage based on an artificial neural network: internal and external validation of a predictive model}, author={Ananya Das and T. Ben-Menachem and G. Cooper and A. Chak and R. Wong}, journal={The Lancet}, year={2003}, volume={362}, pages={1261-1266} }
BACKGROUND
Models based on artificial neural networks (ANN) are useful in predicting outcome of various disorders. There is currently no useful predictive model for risk assessment in acute lower-gastrointestinal haemorrhage. We investigated whether ANN models using information available during triage could predict clinical outcome in patients with this disorder.
METHODS
ANN and multiple-logistic-regression (MLR) models were constructed from non-endoscopic data of patients admitted with acute… CONTINUE READING
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