Figure - PMC

Skip to main content

View full-text article in PMC

. Author manuscript; available in PMC: 2023 Jan 1.

Published in final edited form as: Anesth Analg. 2022 Jan 1;134(1):102–113. doi: 10.1213/ANE.0000000000005694

Figure 3. — Calibration plots of predicted mortality risk (x-axis) vs. observed mortality (y-axis) in intraabdominal surgery patients. Plots for models using only preoperative data and both preoperative and intraoperative data (intraoperative) are displayed for gradient boosting machine (A and B), random forest (C and D), convolutional neural network (E and F), logistic regression (G and H), and support vector machine (I and J) models. The subjects are divided into 10 groups using the 45th, 70th, 85th, 90th, 95th, 97th, 98.5th, 99th, and 99.5th percentiles of the predicted probability of the fitted model. Groups are divided unequally to account for the right-skewed distribution of predicted probabilities and to focus on patients with high predicted probabilities. Mean predicted probability and 30-day mortality are calculated within each group. All plots reflect calibration in the test dataset.

Figure 3. — Calibration plots of predicted mortality risk (x-axis) vs. observed mortality (y-axis) in intraabdominal surgery patients. Plots for models using only preoperative data and both preoperative and intraoperative data (intraoperative) are displayed for gradient boosting machine (A and B), random forest (C and D), convolutional neural network (E and F), logistic regression (G and H), and support vector machine (I and J) models. The subjects are divided into 10 groups using the 45th, 70th, 85th, 90th, 95th, 97th, 98.5th, 99th, and 99.5th percentiles of the predicted probability of the fitted model. Groups are divided unequally to account for the right-skewed distribution of predicted probabilities and to focus on patients with high predicted probabilities. Mean predicted probability and 30-day mortality are calculated within each group. All plots reflect calibration in the test dataset.