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. 2022 Oct 3;21:15330338221126869. doi: 10.1177/15330338221126869

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© The Author(s) 2022

This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).

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Figure 10. — Receiver operating characteristic (ROC) analysis for the predictive model. The figure shows the ROC analysis for the Random Forest model we built to distinguish a healthy pancreas from a cancerous pancreas. (A) Shows the ROC curve of repeated 5-fold cross-validation results for the training dataset, including 189 randomly selected subjects. (B) Shows the ROC curve when the model is applied to the test dataset, including the remaining 77 subjects that the model has not been seen during the training.