<p>QTc, Fridericia’s heart rate corrected QT interval; J-T<sub>peak</sub>c, heart rate corrected J-T<sub>peak</sub>c interval; T-wave flatness, heart rate corrected T-wave flatness. Area under the curve of each model reported in parenthesis.</p
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
<p>ROC curve on number of VEBs and major cardiac events (considered as sudden cardiac death or ICD i...
<p>ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...
<p>ROC curve for the multiple logistic regression model for CMV serostatus using a set of selected p...
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
Group 1: Demographic variables only; Group 2: Demographic plus clinical variables; Group 3: Demograp...
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curve of predictive logistic regression model for depression according to the scores of the P...
(A) CAE, TPR vs. FPR. (B) CAE, TNR vs. FNR. (C) Logit on sets, TPR vs. FPR. (D) Logit on sets, TNR v...
<p>Predictor model (18 predictors) applied to ‘Probable and Possible’ TBM combined with ELISA/qPCR.<...
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>Footnotes: Model 1: Adjusted for maternal characteristics, pregnancy related variables and risk c...
<p>ROC: receiver operating characteristic. AUC: area under the curve. Walking conditions: UP = Usual...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
<p>ROC curve on number of VEBs and major cardiac events (considered as sudden cardiac death or ICD i...
<p>ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...
<p>ROC curve for the multiple logistic regression model for CMV serostatus using a set of selected p...
<p>ROC curves for the logistic regression models with successive inclusion of the variables: <i>RPAA...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable s...
Group 1: Demographic variables only; Group 2: Demographic plus clinical variables; Group 3: Demograp...
<p>ROC curve for logistic regression, the best model found on the reduced feature set (discovery).</...
<p>ROC curve of predictive logistic regression model for depression according to the scores of the P...
(A) CAE, TPR vs. FPR. (B) CAE, TNR vs. FNR. (C) Logit on sets, TPR vs. FPR. (D) Logit on sets, TNR v...
<p>Predictor model (18 predictors) applied to ‘Probable and Possible’ TBM combined with ELISA/qPCR.<...
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>Footnotes: Model 1: Adjusted for maternal characteristics, pregnancy related variables and risk c...
<p>ROC: receiver operating characteristic. AUC: area under the curve. Walking conditions: UP = Usual...
<p>Model 1 (black line) is a simple logistic regression model including the individual risk score. M...
<p>ROC curve on number of VEBs and major cardiac events (considered as sudden cardiac death or ICD i...
<p>ROC curves and AUCs for the clinical (solid blue), ECG (dashed red), and combined (dotted black) ...