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. 2022 Aug 29;127(9):960–972. doi: 10.1007/s11547-022-01518-0

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© The Author(s) 2022

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/.

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Fig. 5 — Uniform Manifold Approximation and Projection (UMAP) for the AI-SCoRE risk classification on wave 1 (filled dots) and wave 2 (empty dots). The UMAP projection was computed on wave 1 and applied in inference on wave 2. Empty black squares indicate the four misclassified samples in wave 2 (36; 42; 109; 127)