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. 2020 Dec 18;10:22298. doi: 10.1038/s41598-020-79191-4

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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 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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We used RNN with LSTM^17–20. The LV pressure and volume from 20 previous time steps and active mechanical properties from current time step were used to predict current LV pressure and volume. Also, the LV endocardium stresses from 20 previous elements as well as passive mechanical properties from current time step were used to predict LV endocardium stresses at current time step. Here c represents carry state¹⁹.