Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Table 1.

Baseline characteristics and brief descriptions of the anthropometric indices used in this study.

More »

Table 1 Expand

Table 2.

Statistical analysis of normotension vs. hypertension in women and men.

More »

Table 2 Expand

Table 3.

Statistical analysis of normotension and hypotension in women and men.

More »

Table 3 Expand

Figure 1.

AUC values for normotension versus hypertension using combined indices in women and men.

The AUC values were calculated using 10-fold cross validation. AUC: area under the receiver operating characteristic curve; LR: logistic regression; NB: naïve Bayes; CFS: correlation-based feature selection; wrapper: wrapper-based variable selection.

More »

Figure 1 Expand

Figure 2.

AUC values for normotension versus hypotension using combined indices in women and men.

The AUC values were calculated using 10-fold cross validation. AUC: area under the receiver operating characteristic curve; LR: logistic regression; NB: naïve Bayes; CFS: correlation-based feature selection; wrapper: wrapper-based variable selection.

More »

Figure 2 Expand

Table 4.

Detailed results of prediction experiments using combined indices.

More »

Table 4 Expand

Table 5.

Selected indices based on the CFS and wrapper-based variable selection techniques.

More »

Table 5 Expand