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. 2019 Dec 2;9:18113. doi: 10.1038/s41598-019-54653-6

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© The Author(s) 2019

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 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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Demonstrating prediction capability through Zeiss printouts from an example glaucoma patient in the test dataset. Predictions are of the eighth visit using the first three. The linear VAE model presented is with eight and ten latent dimensions. These printouts are meant to be interpreted visually, not through the text, which is small due to the size of the printouts.