Table 3 Performance of the general classifiers for predicting survival at 6 months or for predicting a favorable outcome (CPC 1 or 2) using different features. Point estimates and 95% confidence intervals

Predicting survival

 EEG features

.812

.736

.833

.639

.694

.796

[.721 .874]

[.657 .814]

[.739 .928]

[.519 .760]

[.588 .801]

[.683 .909]

 Clinical features

.643

.596

.617

.574

.587

.603

[.535 .737]

[.508 .683]

[.494 .740]

[.450 .698]

[.466 .709]

[.478 .729]

 All features

.806

.752

.717

.787

.768

.739

[.721 .871]

[.675 .829]

[.603 .831]

[.684 .890]

[.657 .878]

[.632 .845]

Predicting

Favorable outcome

 EEG features

.790

.703

.848

.613

.574

.868

[.693 .862]

[.621 .784]

[.744 .952]

[.503 .724]

[.456 .691]

[.777 .959]

 Clinical features

.641

.628

.587

.653

.509

.721

[.537 .736]

[.542 .714]

[.445 .729]

[.546 .761]

[.375 .644]

[.614 .827]

 All features

.777

.703

.565

.787

.619

.747

[.687 .852]

[.621 .784]

[.422 .709]

[.694 .879]

[.472 .766]

[.651 .843]