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. 2024 Jul 4;30(10):2977–2989. doi: 10.1038/s41591-024-03118-z

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© The Author(s) 2024

Open Access This 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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Extended Data Fig. 1 — The figure presents the top twenty contributing features for the model’s positive predictions of a, NC, b, MCI, and c, DE labels, ranked by their mean Shapley values. These values, representing the average contribution of each feature to the model’s decision, guide the ranking from the highest to the lowest impact. For each diagnostic group, a subset of n = 500 cases with the most available features were selected for analysis.