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Fig. 1 | Critical Care

Fig. 1

From: 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 wards

Fig. 1

The performance of each model predicting in-hospital cardiac arrest or unplanned intensive care unit transfer. a The ROC curve for predicting deterioration (IHCA or UIT). b The ROC curve for predicting IHCA. c The ROC curve for predicting UIT. DCARS: deep learning-based cardiac arrest risk score; MEWS: Modified Early Warning Score; NEWS: National Early Warning Score; SPTTS: single-parameter track-and-trigger system; AUROC: area under the receiver operating characteristic curve; ROC: receiver operating characteristic curve; CI: confidence interval; IHCA: in-hospital cardiac arrest; UIT: unplanned intensive care unit transfer

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Critical Care

ISSN: 1364-8535