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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation

Fig. 2

Panel a. Predictive performance (AUC and AUPRC) of our LSTM-based model versus Random Forrest (RF) and Logistic Regression (LR) for the overall patient dataset using six standard mechanical ventilation parameters. Panel b. Predictive performance of our LSTM-based model versus Random Forrest (RF) and Logistic Regression (LR) for the subgroup of patients admitted with respiratory disorders using six standard mechanical ventilation parameters. Confidence intervals are shown in grey for both panels

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