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Annals of Intensive Care
Fig. 3 | Annals of Intensive Care

Fig. 3

From: Machine learning predicts lung recruitment in acute respiratory distress syndrome using single lung CT scan

Fig. 3

Validation AUC for each pair of dataset and machine learning algorithm, when lung recruitability was gas exchange-defined (recruiters: Δ15-5PaO2 > 24 mmHg). M5, lung mechanics at PEEP 5 cmH2O, M15, lung mechanics at PEEP 15 cmH2O, RPM, respiratory partitioned mechanics, G5, gas exchange measured at PEEP 5 cmH2O, CT5, CT imaging acquired at PEEP 5 cmH2O. XGBoost, gradient-boosted tree; RF, random forest; LR, logistic regression; SVM, support vector machine

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