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Fig. 4 | Critical Care

Fig. 4

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

Fig. 4

Increased prediction performance when adding variables. The change in AUC during training (AUCCV) when adding one predictor at the time and running the optimization process each time. The predictive performance of the model (represented by the blue line and its corresponding CI in green area) initially increased rapidly, but then levelled out, gradually approaching the reference AUC (represented by the dotted line and its corresponding CI in the pink area) of the model using all 54 variables. After adding five variables, there was no significant difference between the two models regarding prediction performance, marked by a red X in the figure. AUC, area under the curve; CI, confidence interval

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Critical Care

ISSN: 1364-8535