Table 2.

Performance of predictive models in HFMD discrimination. 4 and 6 miRNA predictor models were constructed with miRNA expressions on the training set of the “Singapore Cohort”. The two models were evaluated on the test set of the “Singapore Cohort” and the “Taiwan Cohort”. The overall accuracy (ACC) is shown together with sensitivity (SEN, the probability to accurately predict HFMD patient as “HFMD”) and specificity (SPE, the probability to predict healthy individuals as “Healthy”). Respective accuracy, sensitivity and specificity were calculated using package “crossval” implemented in R. k-fold cross-validation was carried out using package “caret” and was repeated for 10 folds.

Set	ACC %	SEN %	SPE %
“Singapore Cohort” (6 miRNA predictors with the training set)	85.11	88.89	82.76
“Singapore Cohort” (6 miRNA predictors with the test set)	92.86	100.00	88.89
“Singapore Cohort” (4 miRNA predictors with the training set)	80.85	83.33	79.31
“Singapore Cohort” (4 miRNA predictors with the test set)	91.67	100.00	87.50
“Taiwan Cohort” (6 miRNA predictors)	77.08	78.26	76.00
“Taiwan Cohort” (4 miRNA predictors)	68.75	68.00	69.57