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. 2021 Nov 22;11(1):69–80. doi: 10.1007/s40123-021-00430-6

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.

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Fig. 2 — Test-set confusion matrix for our artificial intelligence algorithm taken at a threshold of 80%. The overall accuracy in the test set is total correct predictions/total predictions. In this case, the total accuracy is (742 + 108)/1000 = 85%