Statistical analysis was done using SPSS version 23.0.ResultsThe results showed that BMI has the best predictive power to recognize the risk of elevated/stage 1 hypertension for female (area under the curve [AUC] = 0.72 and optimal cut-off = 30.10 kg/m2) and WC for male (AUC =...
Graphical representations were created using GraphPad Prism (Version 8.0.0, GraphPad Software, San Diego, CA, USA) in addition to SPSS. The Kolmogorov–Smirnov test was applied to test variables for normal distribution. Normally distributed metric data were expressed as the mean ± standard ...
(NPV and PPV). The SPSS non-parametric statistics (Kruskal Wallis and Mann–Whitney) and Spearman’s regression coefficient were used to assess marker accuracy;p< 0.05 was considered significant. Results—MAP values reached diagnostic accuracy (AUC = 1.00, DR = 100%) for early PE cases ...
ROC curve statistics revealed the following values: PIV (AUC 0.62; 95% CI: 0.51–0.73, p = 0.03, sensitivity 61%, specificity 58%), SII (AUC 0.60; 95% CI: 0.49–0.71, p = 0.04, sensitivity 61%, specificity 58%), NLR (AUC 0.61; 95% CI: 0.50–0.72, p = 0.04, sensitivity 66%...
and 250 epochs and mini-batch training with gradient descent and one consecutive step with no decrease in the error term as stopping criterion. Error, relative error, the area under the ROC curve, the confusion matrices, and the importance of the explanatory variables were computed, and the lat...
2.5. Data Analysis To apply the statistical methods, the 24.0. version of SPSS software was used. The quantitative variables were "participants' age" and "duration of delivery," although they were also analysed as qualitative variables, stating the categories included in Table 1 for each of ...
Statistical analysis was performed using SPSS Version 19. Group differences for age, BMI and stride duration were assessed using Student’s t-test. Differences for knee angle characteristics were assessed using ANOVA to compare controls and OA and non-OA knees in the patients. Receiver operator cha...