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. 2022 Apr 13;71(7):1259–1265. doi: 10.1136/gutjnl-2022-327211

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© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Summary of analysis workflow for identifying histological determinants of malignant transformation and disease grade. Step 3 uses a support vector machine classifier, but any classifier can be used (eg, random forest). Figure copyright Powell et al,⁵² licensed under CC-BY 2.0 (https://creativecommons.org/licenses/by/2.0/). BIC, Bayesian information criterion; OS, overall survival; SVM, support vector machine.