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. 2022 Mar 31;12:5433. doi: 10.1038/s41598-022-09128-6

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© The Author(s) 2022

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 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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Comparisons between ML model and inverse FE model fits to the target EDPVR. The EDPVR was generated using Klotz’s approach and patient-specific imaging data for a mitral-valve prolapse (MVP) patient. A population average end-diastolic pressure for MVP patients was used to generate the target EDPVR.