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Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807698/ https://www.ncbi.nlm.nih.gov/pubmed/35105940 http://dx.doi.org/10.1038/s41598-022-06176-w |
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author | Houston, Andrew Cosma, Georgina Turner, Phillipa Bennett, Alexander |
author_facet | Houston, Andrew Cosma, Georgina Turner, Phillipa Bennett, Alexander |
author_sort | Houston, Andrew |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8807698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88076982022-02-03 Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies Houston, Andrew Cosma, Georgina Turner, Phillipa Bennett, Alexander Sci Rep Author Correction Nature Publishing Group UK 2022-02-01 /pmc/articles/PMC8807698/ /pubmed/35105940 http://dx.doi.org/10.1038/s41598-022-06176-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Author Correction Houston, Andrew Cosma, Georgina Turner, Phillipa Bennett, Alexander Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies |
title | Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies |
title_full | Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies |
title_fullStr | Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies |
title_full_unstemmed | Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies |
title_short | Author Correction: Predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies |
title_sort | author correction: predicting surgical outcomes for chronic exertional compartment syndrome using a machine learning framework with embedded trust by interrogation strategies |
topic | Author Correction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807698/ https://www.ncbi.nlm.nih.gov/pubmed/35105940 http://dx.doi.org/10.1038/s41598-022-06176-w |
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