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. 2020 Apr 28;10:7155. doi: 10.1038/s41598-020-62922-y

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© The Author(s) 2020

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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Preparation of CPRD data for BEHRT. An example patient’s EHR sequence can be seen in the figure, which consists of 8 visits. In each visit, the record can consist of concepts such as diagnoses, medications and measurements; all these values are artificial and for illustration purposes. For this study, we are only interested in age and diagnoses. Therefore, as shown in at the bottom of the figure, we have taken only the diagnosis and age subset of the record to form the necessary sequences. This resulting sequence is how we represent every patient’s EHR in our modelling process. Note that the visits shown in purple boxes are not going to be represented to the model, due to them lacking diagnoses.