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. 2021 Jun 22;23:174. doi: 10.1186/s13075-021-02553-4

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Upset plot visualizing the intersections of the ML-defined cohort and the 2 criteria-based selections, with a bar chart depicting the total cohort size in the bottom-left where C1987 = 1987 criteria-based cases, ML = machine learning-based cases, and C2010 = 2010 criteria-based cases. N = 539 unique cases out of 1127 records