Fig. 2From: Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wardsComparison of mean alarm counts/day/1,000 beds at the same sensitivity level for each prediction model. MACPD: mean alarm counts per day per 1,000 beds; DCARS, deep learning-based cardiac arrest risk score; MEWS: modified early warning score; NEWS: national early warning score; SPTTS: single-parameter track-and-trigger systemBack to article page