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Fig. 2 | Critical Care

Fig. 2

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

Fig. 2

Prediction performance. The prediction performance of long-term functional outcome is expressed as AUC in a ROC curve, by an ANN model using all 54 variables available on admission to intensive care. Of the 932 patients included in the study, 93 patients (10%) was randomly chosen and removed from the training set on which the ANN algorithm trained its prediction model. The trained ANN was then used to make a prediction of the outcome on the 93 patients earlier removed to represent the test set. The mean AUC for our ANN was 0.891, indicating an excellent performance to predict long-term outcome. AUC, area under the curve; ROC, receiver operating characteristics; ANN, artificial neural network

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Critical Care

ISSN: 1364-8535