a<p>Mean±SE,</p>b<p>comparison with same variables set,</p>c<p>comparison with ANN model,</p>d<p>comparison with LR model.</p><p>Group 1: all variables.</p><p>Group 2: high odds ratio variables (Foley, nasogastric tube and steroids).</p><p>Group 3: medical devices as variables (Foley, CVC catheter, arterial line and nasogastric tube).</p><p>Group 4: low odds ratio variables (CVC catheter, arterial line and stress ulcer prophylaxes).</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, PPV = positive predictive value, NPV = negative predictive value, AUC =...
For each of 20 bootstrap samples, the data were randomly divided into a training set from which an A...
The objective of this research was to compare the accuracy of two types of neural networks in identi...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
a<p>Mean±SE,</p>b<p>comparison with ANN model.</p><p>Group 1: all variables.</p><p>Group 3: medical ...
<p>ANN = artificial neural network; LR = logistic regression; Hosmer-Lemeshow statistics = H-L stati...
<p>All variables were included in artificial neural network (ANN) model and 7 variables were include...
<p>ANN = artificial neural network; LR = logistic regression; PPV = positive predictive value; NPV =...
<p>Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free sur...
<p>ANN, artificial neural network. LRM, logistic regression model. AUROC, area under the receiver op...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
<p>(A) Training (Set 1): ANN model shows the best performance among the four diagnostic classifiers....
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
International audienceThe aim of this study was to compare multilayer perceptron neural networks (NN...
Predicting clinical outcome following a specific treatment is a challenge that sees physicians and r...
<p>ANNs: artificial neural networks; LR: logistic regression analysis; SN: sensitivity; SP: specific...
For each of 20 bootstrap samples, the data were randomly divided into a training set from which an A...
The objective of this research was to compare the accuracy of two types of neural networks in identi...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
a<p>Mean±SE,</p>b<p>comparison with ANN model.</p><p>Group 1: all variables.</p><p>Group 3: medical ...
<p>ANN = artificial neural network; LR = logistic regression; Hosmer-Lemeshow statistics = H-L stati...
<p>All variables were included in artificial neural network (ANN) model and 7 variables were include...
<p>ANN = artificial neural network; LR = logistic regression; PPV = positive predictive value; NPV =...
<p>Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free sur...
<p>ANN, artificial neural network. LRM, logistic regression model. AUROC, area under the receiver op...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...
<p>(A) Training (Set 1): ANN model shows the best performance among the four diagnostic classifiers....
<p><b>(A)</b> Graphical display of the ranking of ANN model performance as measured by mean ROC AUC ...
International audienceThe aim of this study was to compare multilayer perceptron neural networks (NN...
Predicting clinical outcome following a specific treatment is a challenge that sees physicians and r...
<p>ANNs: artificial neural networks; LR: logistic regression analysis; SN: sensitivity; SP: specific...
For each of 20 bootstrap samples, the data were randomly divided into a training set from which an A...
The objective of this research was to compare the accuracy of two types of neural networks in identi...
<p>The comparison of AUCs between different variable groups of artificial neural network (ANN-1, ANN...