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©The Author(s) 2024.
World J Hepatol. Feb 27, 2024; 16(2): 193-210
Published online Feb 27, 2024. doi: 10.4254/wjh.v16.i2.193
Published online Feb 27, 2024. doi: 10.4254/wjh.v16.i2.193
Figure 2 Area under the receiver operating characteristic curve and area under the precision-recall curve for the model on the validation set.
A and B: The area under the receiver operating characteristic curve in Figure 2A plots the true positive rate (sensitivity) against the false positive rate (1-specificity) for various threshold values. The area under the precision-recall curve in Figure 2B illustrates precision × recall for different threshold values. The shaded region represents the 95% confidence interval in both figures. ROC: Receiver operating characteristic; CI: Confidence interval.
- Citation: Soldera J, Corso LL, Rech MM, Ballotin VR, Bigarella LG, Tomé F, Moraes N, Balbinot RS, Rodriguez S, Brandão ABM, Hochhegger B. Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model: A cohort study. World J Hepatol 2024; 16(2): 193-210
- URL: https://www.wjgnet.com/1948-5182/full/v16/i2/193.htm
- DOI: https://dx.doi.org/10.4254/wjh.v16.i2.193