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. 2022 Nov 2;12:18492. doi: 10.1038/s41598-022-23090-3

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© The Author(s) 2022

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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Asthma. (a) Age and sex-distribution of diagnoses among patients in secondary and tertiary care. (b) Heterogeneity of asthma patients in 27 clusters represented in two-dimensional latent space of VAE model. Clusters mentioned in the text are circled. (c) Cluster-specific characteristics presented by statistically significant logarithmic odds ratios for demographics and diagnoses. (d) Distributions of laboratory results that differ statistically significantly (FDR 0.1%) between a specific cluster and the rest of the patients (only selected tests shown).