<p>Performance comparison of ANN, LR and DT models for predicting 1-, 3- and 5-year disease-free survival in validation groups.</p
<p>NB-Naive Bayes, SVM-Support vector machine, NN-neural network, LOG-Logistic regression, BL-Booste...
Accurate modelling of time-to-event data is of particular importance for both exploratory and predic...
This work investigates the predictive performance of 10 Machine learning models on three medical dat...
<p>The AUROC values for 1-year (A), 3-year (B) and 5-year (C) disease-free survival were 0.777, 0.77...
Mortality prediction performance (i.e., accuracy, sensitivity, and specificity) for the LR, SVM, DT,...
<p>Comparison of model performances for the different use cases (prognosis periods of 2, 5, 8 and 11...
<p>ANN = artificial neural network; LR = logistic regression; PPV = positive predictive value; NPV =...
<p>ANN = artificial neural network; LR = logistic regression; Hosmer-Lemeshow statistics = H-L stati...
Survival analysis methods deal with a type of data, which is waiting time till occurrence of an even...
Background & Objective: Using parametric models is common approach in survival analysis. In the rece...
Research that seeks to compare two predictive models requires a thorough statistical approach to dra...
Predictive Performance (Harrel CI) of all the tested Deep Survival NN architectures (blue) and all m...
Medical researchers frequently make statements that one model pre- dicts survival better than anothe...
a<p>Mean±SE,</p>b<p>comparison with same variables set,</p>c<p>comparison with ANN model,</p>d<p>com...
International audienceThe aim of this study was to compare multilayer perceptron neural networks (NN...
<p>NB-Naive Bayes, SVM-Support vector machine, NN-neural network, LOG-Logistic regression, BL-Booste...
Accurate modelling of time-to-event data is of particular importance for both exploratory and predic...
This work investigates the predictive performance of 10 Machine learning models on three medical dat...
<p>The AUROC values for 1-year (A), 3-year (B) and 5-year (C) disease-free survival were 0.777, 0.77...
Mortality prediction performance (i.e., accuracy, sensitivity, and specificity) for the LR, SVM, DT,...
<p>Comparison of model performances for the different use cases (prognosis periods of 2, 5, 8 and 11...
<p>ANN = artificial neural network; LR = logistic regression; PPV = positive predictive value; NPV =...
<p>ANN = artificial neural network; LR = logistic regression; Hosmer-Lemeshow statistics = H-L stati...
Survival analysis methods deal with a type of data, which is waiting time till occurrence of an even...
Background & Objective: Using parametric models is common approach in survival analysis. In the rece...
Research that seeks to compare two predictive models requires a thorough statistical approach to dra...
Predictive Performance (Harrel CI) of all the tested Deep Survival NN architectures (blue) and all m...
Medical researchers frequently make statements that one model pre- dicts survival better than anothe...
a<p>Mean±SE,</p>b<p>comparison with same variables set,</p>c<p>comparison with ANN model,</p>d<p>com...
International audienceThe aim of this study was to compare multilayer perceptron neural networks (NN...
<p>NB-Naive Bayes, SVM-Support vector machine, NN-neural network, LOG-Logistic regression, BL-Booste...
Accurate modelling of time-to-event data is of particular importance for both exploratory and predic...
This work investigates the predictive performance of 10 Machine learning models on three medical dat...
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