Fig. 3From: External validation of a machine learning model to predict hemodynamic instability in intensive care unitTime-varying true alarms and leading time plots. a The fraction of events that correctly trigger an alarm is reported per hour in 24 h before any hemodynamic intervention occurs. b The distribution of timing of the first alarm in the 24 h before an event. 95% unstable patients can be identified over 5 h in advance to interventionsBack to article page