Predicting prolonged length of hospital stay in older emergency department users: use of a novel analysis method, the Artificial Neural Network.

@article{Launay2015PredictingPL,
  title={Predicting prolonged length of hospital stay in older emergency department users: use of a novel analysis method, the Artificial Neural Network.},
  author={Cyrille Patrice Launay and H{\'e}l{\`e}ne Rivi{\`e}re and Anastasia Kabeshova and Olivier Beauchet},
  journal={European journal of internal medicine},
  year={2015},
  volume={26 7},
  pages={478-82}
}
OBJECTIVE To examine performance criteria (i.e., sensitivity, specificity, positive predictive value [PPV], negative predictive value [NPV], likelihood ratios [LR], area under receiver operating characteristic curve [AUROC]) of a 10-item brief geriatric assessment (BGA) for the prediction of prolonged length hospital stay (LHS) in older patients hospitalized in acute care wards after an emergency department (ED) visit, using artificial neural networks (ANNs); and to describe the contribution of… CONTINUE READING
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