Fig. 1: Logistic regression algorithm predicts ROC curve, nomogram, DCA curve and calibration curve of the model. | Translational Psychiatry

Fig. 1: Logistic regression algorithm predicts ROC curve, nomogram, DCA curve and calibration curve of the model.

From: Prediction models for postoperative delirium in elderly patients with machine-learning algorithms and SHapley Additive exPlanations

Fig. 1

A ROC curve of logistic regression in the training dataset and validation dataset. B The nomogram of the logistic regression model. This nomogram was developed with six perioperative predictors. Find each predictor’s point on the uppermost point scale and add them up. The total point projected to the bottom scale indicates the % probability of POD. C The calibration curve of the logistic regression model. D The DCA of the logistic regression model for the training dataset. DCA decision curve analysis.

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