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. 2023 May 19;6:89. doi: 10.1038/s41746-023-00830-x

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© The Author(s) 2023

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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Fig. 8 — This figure visualizes the distributions of Observational Medical Outcomes Partnership (OMOP) concepts missing from the OMOP2OBO mapping set over their frequency of use in clinical practice (log 10 scale) within the Concept Prevalence Study data by domain (Conditions [left]; Drugs [middle]; and Measurements [right]). The three modeled error analysis distributions include: concepts recovered in a newer version of the OMOP common data model (CDM; magenta), concepts that were purposefully excluded, not yet mapped, or unable to be mapped by OMOP2OBO (blue), and concepts that were truly missing from the OMOP2OBO mapping set (yellow).