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Fig. 3 | Critical Care

Fig. 3

From: Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care

Fig. 3

Prediction performance in comparison. Comparison of the prediction performance of long-term outcome expressed as AUC in ROC curves, between our ANN model (blue) and the TTM risk score (green) from Martinell et al. The ANN model (AUC = 0.904) outperformed the TTM risk score (AUC = 0.839) significantly (p = 0.029) in a comparative analysis based on 80 patients (test set) from the TTM data set. Since the “TTM risk score” does not have a strategy for handling missing values, 13 patients were removed from the original test set with 93 patients when comparing the two models. The ANN AUCs in Figs. 2 and 3 differ for the same reason. AUC, area under the curve; ROC, receiver operating characteristics; ANN, artificial neural network; TTM, targeted temperature management

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Critical Care

ISSN: 1364-8535