Do all sedatives promote biological sleep electroencephalogram patterns? A machine learning framework to identify biological sleep promoting sedatives using electroencephalogram
Fig 5
Heatmap of the performance of the random forest algorithm to differentiate between awake (MOAA/S score = 5) and different levels of sedation using sleep staging models for all three drugs.
The colorbar represents the AUC values obtained by the model. Here WN = trained on wake (W) and nonrapid eye movement (N) sleep stages; WR = trained on W and rapid eye movement R; WN1 = trained on W and N1; WN2 = trained on W and N2; WN3 = trained on W and N3; MOAA/S = Modified Observer’s Assessment of Alertness/Sedation (MOAA/S) scale; M54 = MOAA/S 5 versus MOAA/S 4; M53 = MOAA/S 5 versus MOAA/S = 3; M52 = MOAA/S 5 versus MOAA/S = 2; M51 = MOAA/S 5 versus MOAA/S 1; M50 = MOAA/S = 5 versus MOAA/S = 0.