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Fig. 2 | Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine

Fig. 2

From: Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services

Fig. 2

Receiver operating characteristics curve for predicting critical care Legends: *AI: artificial intelligence; AUC: area under the receiver operating characteristics curve; CI: confidence interval; ESI: Emergency Severity Index, KTAS: Korean triage and acuity system; MEWS: modified early warning score; NEWS: national early warning score; NPV: negative predictive value; PPV: positive predictive value. †The alternative hypothesis for this p-value was that there is a difference between the artificial intelligence algorithm and the other predictive methods. ‡The alternative hypothesis for this p-value was that there is a difference between the ensemble model, combining artificial intelligence and the ESI, and the other predictive methods

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