Fig. 3: Prognostic accuracy for 31-day mortality of the RISKINDEX compared with traditional clinical prediction tools. | Nature Communications

Fig. 3: Prognostic accuracy for 31-day mortality of the RISKINDEX compared with traditional clinical prediction tools.

From: Machine learning for risk stratification in the emergency department (MARS-ED): a randomized controlled trial

Fig. 3: Prognostic accuracy for 31-day mortality of the RISKINDEX compared with traditional clinical prediction tools.The alternative text for this image may have been generated using AI.

The RISKINDEX demonstrated higher prognostic accuracy for 31-day mortality (AUROC 0.84 (95% CI: 0.78–0.90)) compared to traditional clinical prediction tools. It showed a statistically higher AUROC than the NEWS score (AUROC 0.65 (95% CI 0.56–0.74), p < 0.001), APACHE II score (AUROC 0.65 (95% CI 0.51–0.78), p = 0.008), and SOFA score (AUROC 0.75 (95% CI 0.68–0.83), p = 0.017). The AUROCs were compared by using the method of DeLong.

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