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. 2018 Nov 5;8:16344. doi: 10.1038/s41598-018-33962-2

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© The Author(s) 2018

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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Regression model performance. Linear regression models were built to predict the second-visit GDI using initial gait visit data and intervening treatments for the surgery and control groups. (A) The surgery models explained, on average, 41% of variance in outcome. Post-hoc classification of whether post-operative GDI was above 80 had 73% accuracy. The area under the ROC curve was 0.82. (B) The control models explained, on average, 40% of variance in outcome. Post-hoc classification had 77% accuracy, with area under the ROC curve of 0.81.