a<p>Mean±SE,</p>b<p>comparison with ANN model.</p><p>Group 1: all variables.</p><p>Group 3: medical devices as variables (Foley, CVC catheter, arterial line and nasogastric tube).</p><p>Group 5: underlying condition and medications as variables (hemodialysis, stress ulcer prophylaxes and steroids).</p><p>Abbreviations: ANN = artificial neural network, LR = logistic regression, Sens. = sensitivity, Spec. = specificity, AUC = area under the receiver operating characteristic curve.</p
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
Because psychological assessment typically lacks biological gold standards, it traditionally has rel...
a<p>Mean±SE,</p>b<p>comparison with same variables set,</p>c<p>comparison with ANN model,</p>d<p>com...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
<p>ANN = artificial neural network; LR = logistic regression; Hosmer-Lemeshow statistics = H-L stati...
<p>ANN = artificial neural network; LR = logistic regression; PPV = positive predictive value; NPV =...
<p>(A) Training (Set 1): ANN model shows the best performance among the four diagnostic classifiers....
<p>All variables were included in artificial neural network (ANN) model and 7 variables were include...
<p>ANN, artificial neural network. LRM, logistic regression model. AUROC, area under the receiver op...
<p>Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free sur...
<p>Areas under ROC curves were 0.86 and 0.68 for ANN and LR models, respectively. Area under ROC cur...
<p>ANNs: artificial neural networks; LR: logistic regression analysis; SN: sensitivity; SP: specific...
<p>UNN: untransformed neural network; TNN: transformed neural network; NNC: neural network cascade. ...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
Because psychological assessment typically lacks biological gold standards, it traditionally has rel...
a<p>Mean±SE,</p>b<p>comparison with same variables set,</p>c<p>comparison with ANN model,</p>d<p>com...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
<p>ANN = artificial neural network; LR = logistic regression; Hosmer-Lemeshow statistics = H-L stati...
<p>ANN = artificial neural network; LR = logistic regression; PPV = positive predictive value; NPV =...
<p>(A) Training (Set 1): ANN model shows the best performance among the four diagnostic classifiers....
<p>All variables were included in artificial neural network (ANN) model and 7 variables were include...
<p>ANN, artificial neural network. LRM, logistic regression model. AUROC, area under the receiver op...
<p>Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free sur...
<p>Areas under ROC curves were 0.86 and 0.68 for ANN and LR models, respectively. Area under ROC cur...
<p>ANNs: artificial neural networks; LR: logistic regression analysis; SN: sensitivity; SP: specific...
<p>UNN: untransformed neural network; TNN: transformed neural network; NNC: neural network cascade. ...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
<p><i>ANN</i> artificial neural network; <i>PPV</i> positive predictive value; <i>NPV</i> negative p...
Because psychological assessment typically lacks biological gold standards, it traditionally has rel...