Fig. 4
From: Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy
Diagnostic receiver operating characteristics curves. Diagnostic receiver operating characteristics (ROC) curves, displaying the trade-offs between sensitivity and specificity for our narcolepsy biomarker for a training sample, b testing sample, c replication sample and e high pretest sample. d–f Adding HLA to model vastly increases specificity. Cut-off thresholds are presented for models with (red dot) and without HLA (green dot)
