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. 2020 Sep 23;10:15532. doi: 10.1038/s41598-020-72433-5

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© The Author(s) 2020

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Machine learning-based analysis of non-invasive thermal image processing. t-SNE plots representing the diagnostic yield of our model are presented. During weeks 3, 4, and 5, our algorithm demonstrated a 100% detection rate and clustered 10 of the 10 mice correctly (MCD diet vs regular control diet). t-SNE t-distributed stochastic neighbor embedding.