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Author Correction: Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290052/ https://www.ncbi.nlm.nih.gov/pubmed/37353595 http://dx.doi.org/10.1038/s41598-023-37355-y |
| _version_ | 1785062407998013440 |
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| author | Vali, Mohebat Paydar, Shahram Seif, Mozhgan Sabetian, Golnar Abujaber, Ahmad Ghaem, Haleh |
| author_facet | Vali, Mohebat Paydar, Shahram Seif, Mozhgan Sabetian, Golnar Abujaber, Ahmad Ghaem, Haleh |
| author_sort | Vali, Mohebat |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-10290052 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-102900522023-06-25 Author Correction: Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach Vali, Mohebat Paydar, Shahram Seif, Mozhgan Sabetian, Golnar Abujaber, Ahmad Ghaem, Haleh Sci Rep Author Correction Nature Publishing Group UK 2023-06-23 /pmc/articles/PMC10290052/ /pubmed/37353595 http://dx.doi.org/10.1038/s41598-023-37355-y Text en © The Author(s) 2023 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 Vali, Mohebat Paydar, Shahram Seif, Mozhgan Sabetian, Golnar Abujaber, Ahmad Ghaem, Haleh Author Correction: Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach |
| title | Author Correction: Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach |
| title_full | Author Correction: Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach |
| title_fullStr | Author Correction: Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach |
| title_full_unstemmed | Author Correction: Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach |
| title_short | Author Correction: Prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach |
| title_sort | author correction: prediction prolonged mechanical ventilation in trauma patients of the intensive care unit according to initial medical factors: a machine learning approach |
| topic | Author Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290052/ https://www.ncbi.nlm.nih.gov/pubmed/37353595 http://dx.doi.org/10.1038/s41598-023-37355-y |
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