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Fig. 3 | BMC Anesthesiology

Fig. 3

From: Machine learning approach for predicting post-intubation hemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety

Fig. 3

Model architecture with preoperative patient information, perioperative initiatory drug infusion and ICV. EHRS electronic health record system, BMI body mass index, AIMS anesthesia information management system, MLR multiple linear regression, SVR support vector regression, ETR extra tree regression, MLP multilayer perceptron, XGBoost extreme gradient boosting, SMOTETomek synthetic minority over-sampling technique with Tomek links identification, ICV integrated coefficient of variance

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