Pooled C statistics of the validations of the nine most frequently validated prediction models.</p
Additional results for each of the models resulting from analyses of the random samples.</p
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The overview of three independent patterns used for the model output corroboration.</p
Characteristics of the validations of the nine most frequently validated prediction models.</p
Overview of the included studies with the type of reporting external validation of previously develo...
Pearson correlations between different analyzed parameters pooling all analyzed samples.</p
<p>(A) The distribution of the difference in covariance orientation angle between pairs of elements ...
Overview of the included studies with the type of ML prediction models development with conduction o...
<p>Predictability estimates and statistics for each pond and model combination.</p
Model discrimination [c-statistic (95% confidence interval)] by derivation and validation cohorts.</...
Overview of the included studies with the type of ML prediction models development without conductin...
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
<p>The data, marked with “*”, “+”, and “x”, are obtained from random experimental conditions , , and...
The number and setting of eligible studies in each prediction model, and original population and set...
Predictors considered, and how they are represented in CPRD and in our models.</p
Additional results for each of the models resulting from analyses of the random samples.</p
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The overview of three independent patterns used for the model output corroboration.</p
Characteristics of the validations of the nine most frequently validated prediction models.</p
Overview of the included studies with the type of reporting external validation of previously develo...
Pearson correlations between different analyzed parameters pooling all analyzed samples.</p
<p>(A) The distribution of the difference in covariance orientation angle between pairs of elements ...
Overview of the included studies with the type of ML prediction models development with conduction o...
<p>Predictability estimates and statistics for each pond and model combination.</p
Model discrimination [c-statistic (95% confidence interval)] by derivation and validation cohorts.</...
Overview of the included studies with the type of ML prediction models development without conductin...
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
<p>The data, marked with “*”, “+”, and “x”, are obtained from random experimental conditions , , and...
The number and setting of eligible studies in each prediction model, and original population and set...
Predictors considered, and how they are represented in CPRD and in our models.</p
Additional results for each of the models resulting from analyses of the random samples.</p
<p>The prediction performance of the final model using 18 features, by 10-fold cross validation.</p
<p>The overview of three independent patterns used for the model output corroboration.</p