Colours differentiate the 3 modelling techniques (GBC, RF, and CPH), whereas line styles indicate the predictor sets (QA, QA+, and T). AUC, area under the receiver operating characteristic curve; CPH, Cox proportional hazards; GBC, gradient boosting classifier; RF, random forest.</p
<p>ROCR of different models are plotted. The legend lists the number of features, AUC and sensitivit...
Model discrimination [c-statistic (95% confidence interval)] by derivation and validation cohorts.</...
<p><b>(A)</b> Receiver operating characteristic (ROC) curve. The solid black line indicates the medi...
Discrimination of the model, compared with other existing models amongst the UK validation cohort ov...
Cross-validated model discrimination for different predictor sets and modelling techniques: Derivati...
The discrimination of a risk prediction model measures that model’s ability to distinguish between s...
<p>Data are shown as dots; the model predictions are shown as lines fit to the data. Color and style...
(a) QA variables; (b) QA+ variables; (c) T variables. The x-axis shows the predicted probability of ...
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
(a) QA variables; (b) QA+ variables; (c) T variables. The x-axis shows the predicted probability of ...
(A) shows discrimination (C-index) and (B) shows calibration (1 − a, where a is the area between the...
(A) shows the AUC (95% confidence interval) of the p50 model tested on the same subset from which it...
<p>The prediction accuracy <i>A</i> using a logistic regression classifier at time <i>t</i><sub><i>c...
<p>The discrimination power of is independent of the baseline score, whereas that of is concentrat...
<p>A: The results of 2-fold cross validations are shown for each regression method in this in this f...
<p>ROCR of different models are plotted. The legend lists the number of features, AUC and sensitivit...
Model discrimination [c-statistic (95% confidence interval)] by derivation and validation cohorts.</...
<p><b>(A)</b> Receiver operating characteristic (ROC) curve. The solid black line indicates the medi...
Discrimination of the model, compared with other existing models amongst the UK validation cohort ov...
Cross-validated model discrimination for different predictor sets and modelling techniques: Derivati...
The discrimination of a risk prediction model measures that model’s ability to distinguish between s...
<p>Data are shown as dots; the model predictions are shown as lines fit to the data. Color and style...
(a) QA variables; (b) QA+ variables; (c) T variables. The x-axis shows the predicted probability of ...
Externally validated model discrimination for different predictor sets and modelling techniques: Val...
(a) QA variables; (b) QA+ variables; (c) T variables. The x-axis shows the predicted probability of ...
(A) shows discrimination (C-index) and (B) shows calibration (1 − a, where a is the area between the...
(A) shows the AUC (95% confidence interval) of the p50 model tested on the same subset from which it...
<p>The prediction accuracy <i>A</i> using a logistic regression classifier at time <i>t</i><sub><i>c...
<p>The discrimination power of is independent of the baseline score, whereas that of is concentrat...
<p>A: The results of 2-fold cross validations are shown for each regression method in this in this f...
<p>ROCR of different models are plotted. The legend lists the number of features, AUC and sensitivit...
Model discrimination [c-statistic (95% confidence interval)] by derivation and validation cohorts.</...
<p><b>(A)</b> Receiver operating characteristic (ROC) curve. The solid black line indicates the medi...